Zhengzhong Tu

According to our database, Zhengzhong Tu authored at least 144 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Towards Agentic Urban Digital Twins (AUDiTs): advancing new urban science through Human-AI co-learning agents.

Xinyue Ye, Wenjing Gong, Yifan Yang, Lei Zou, Zhengzhong Tu, Xiao Huang, Zhenlong Li, Huan Ning, Ling Wu

Urban Inform., December, 2026

A Survey on LLM-based Conversational User Simulation.

Bo Ni, Leyao Wang, Yu Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Leura, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, David Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi

CoRR, April, 2026

VEFX-Bench: A Holistic Benchmark for Generic Video Editing and Visual Effects.

Xiangbo Gao, Sicong Jiang, Bangya Liu, Xinghao Chen, Minglai Yang, Siyuan Yang, Mingyang Wu, Jiongze Yu, Qi Zheng, Haozhi Wang, Jiayi Zhang, Jie Yang, Zihan Wang, Qing Yin, Zhengzhong Tu

CoRR, April, 2026

Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Models.

Keshu Wu, Chenchen Kuai, Zihao Li, Jiwan Jiang, Shiyu Shen, Shian Wang, Chan-Wei Hu, Zhengzhong Tu, Yang Zhou

CoRR, April, 2026

How Independent are Large Language Models? A Statistical Framework for Auditing Behavioral Entanglement and Reweighting Verifier Ensembles.

Chenchen Kuai, Jiwan Jiang, Zihao Zhu, Hao Wang, Keshu Wu, Zihao Li, Yunlong Zhang, Chenxi Liu, Zhengzhong Tu, Zhiwen Fan, Yang Zhou

CoRR, April, 2026

Physics-Aware Video Instance Removal Benchmark.

Zirui Li, Xinghao Chen, Lingyu Jiang, Dengzhe Hou, Fangzhou Lin, Kazunori D. Yamada, Xiangbo Gao, Zhengzhong Tu

CoRR, April, 2026

Region-R1: Reinforcing Query-Side Region Cropping for Multi-Modal Re-Ranking.

Chan-Wei Hu, Zhengzhong Tu

CoRR, April, 2026

AdaptFuse: Training-Free Sequential Preference Learning via Externalized Bayesian Inference.

Fangzhou Lin, Peiran Li, Shuo Xing, Siyuan Yang, Qianwen Ge, Kazunori D. Yamada, Ziming Zhang, Haichong Zhang, Zhengzhong Tu

CoRR, April, 2026

Training a Student Expert via Semi-Supervised Foundation Model Distillation.

Pardis Taghavi, Tian Liu, Renjie Li, Reza Langari, Zhengzhong Tu

CoRR, April, 2026

Learn2Fold: Structured Origami Generation with World Model Planning.

Yanjia Huang, Yunuo Chen, Ying Jiang, Jinru Han, Zhengzhong Tu, Yin Yang, Chenfanfu Jiang

CoRR, March, 2026

Let the Abyss Stare Back Adaptive Falsification for Autonomous Scientific Discovery.

Peiran Li, Fangzhou Lin, Shuo Xing, Jiashuo Sun, Dylan Zhang, Siyuan Yang, Chaoqun Ni, Zhengzhong Tu

CoRR, March, 2026

NavTrust: Benchmarking Trustworthiness for Embodied Navigation.

Huaide Jiang, Yash Chaudhary, Yuping Wang, Zehao Wang, Raghav Sharma, Manan Mehta, Yang Zhou, Lichao Sun, Zhiwen Fan, Zhengzhong Tu, Jiachen Li

CoRR, March, 2026

SparkVSR: Interactive Video Super-Resolution via Sparse Keyframe Propagation.

Jiongze Yu, Xiangbo Gao, Pooja Verlani, Akshay Gadde, Yilin Wang, Balu Adsumilli, Zhengzhong Tu

CoRR, March, 2026

The Pulse of Motion: Measuring Physical Frame Rate from Visual Dynamics.

Xiangbo Gao, Mingyang Wu, Siyuan Yang, Jiongze Yu, Pardis Taghavi, Fangzhou Lin, Zhengzhong Tu

CoRR, March, 2026

Traversal-as-Policy: Log-Distilled Gated Behavior Trees as Externalized, Verifiable Policies for Safe, Robust, and Efficient Agents.

Peiran Li, Jiashuo Sun, Fangzhou Lin, Shuo Xing, Tianfu Fu, Suofei Feng, Chaoqun Ni, Zhengzhong Tu

CoRR, March, 2026

InfinityStory: Unlimited Video Generation with World Consistency and Character-Aware Shot Transitions.

Mohamed Elmoghany, Liangbing Zhao, Xiaoqian Shen, Subhojyoti Mukherjee, Yang Zhou, Gang Wu, Viet Dac Lai, Seunghyun Yoon, Ryan Rossi, Abdullah Rashwan, Puneet Mathur, Varun Manjunatha, Daksh Dangi, Chien Nguyen, Nedim Lipka, Trung Bui, Krishna Kumar Singh, Ruiyi Zhang, Xiaolei Huang, Jaemin Cho, Yu Wang, Namyong Park, Zhengzhong Tu, Hongjie Chen, Hoda Eldardiry, Nesreen K. Ahmed, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt

CoRR, March, 2026

Human-Aligned MLLM Judges for Fine-Grained Image Editing Evaluation: A Benchmark, Framework, and Analysis.

Runzhou Liu, Hailey Weingord, Sejal Mittal, Prakhar Dungarwal, Anusha Nandula, Bo Ni, Samyadeep Basu, Hongjie Chen, Nesreen K. Ahmed, Li Li, Jiayi Zhang, Koustava Goswami, Subhojyoti Mukherjee, Branislav Kveton, Puneet Mathur, Franck Dernoncourt, Yue Zhao, Yu Wang, Ryan A. Rossi, Zhengzhong Tu, Hongru Du

CoRR, February, 2026

ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation.

Mingyang Wu, Ashirbad Mishra, Soumik Dey, Shuo Xing, Naveen Ravipati, Hansi Wu, Binbin Li, Zhengzhong Tu

CoRR, February, 2026

Agent Banana: High-Fidelity Image Editing with Agentic Thinking and Tooling.

Ruijie Ye, Jiayi Zhang, Zhuoxin Liu, Zihao Zhu, Siyuan Yang, Li Li, Tianfu Fu, Franck Dernoncourt, Yue Zhao, Jiacheng Zhu, Ryan Rossi, Wenhao Chai, Zhengzhong Tu

CoRR, February, 2026

PISCO: Precise Video Instance Insertion with Sparse Control.

Xiangbo Gao, Renjie Li, Xinghao Chen, Yuheng Wu, Suofei Feng, Qing Yin, Zhengzhong Tu

CoRR, February, 2026

Modular Safety Guardrails Are Necessary for Foundation-Model-Enabled Robots in the Real World.

Joonkyung Kim, Wenxi Chen, Davood Soleymanzadeh, Yi Ding, Xiangbo Gao, Zhengzhong Tu, Ruqi Zhang, Fan Fei, Sushant Veer, Yiwei Lyu, Minghui Zheng, Yan Gu

CoRR, February, 2026

FASA: Frequency-aware Sparse Attention.

Yifei Wang, Yueqi Wang, Zhenrui Yue, Huimin Zeng, Yong Wang, Ismini Lourentzou, Zhengzhong Tu, Xiangxiang Chu, Julian J. McAuley

CoRR, February, 2026

Position: Human-Centric AI Requires a Minimum Viable Level of Human Understanding.

Fangzhou Lin, Qianwen Ge, Lingyu Xu, Peiran Li, Xiangbo Gao, Shuo Xing, Kazunori D. Yamada, Ziming Zhang, Haichong Zhang, Zhengzhong Tu

CoRR, February, 2026

BibAgent: An Agentic Framework for Traceable Miscitation Detection in Scientific Literature.

Peiran Li, Fangzhou Lin, Shuo Xing, Xiang Zheng, Xi Hong, Siyuan Yang, Jiashuo Sun, Zhengzhong Tu, Chaoqun Ni

CoRR, January, 2026

Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models.

Rong Zhou, Dongping Chen, Zihan Jia, Yao Su, Yixin Liu, Yiwen Lu, Dongwei Shi, Yue Huang, Tianyang Xu, Yi Pan, Xinliang Li, Yohannes Abate, Qingyu Chen, Zhengzhong Tu, Yu Yang, Yu Zhang, Qingsong Wen, Gengchen Mai, Sunyang Fu, Jiachen Li, Xuyu Wang, Ziran Wang, Jing Huang, Tianming Liu, Yong Chen, Lichao Sun, Lifang He

CoRR, January, 2026

A Survey on LLM-based Conversational User Simulation.

Bo Ni, Yu Wang, Leyao Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Luera, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

CyPortQA: Benchmarking Multimodal Large Language Models for Cyclone Preparedness in Port Operation.

Chenchen Kuai, Chenhao Wu, Yang Zhou, Xiubin Bruce Wang, Tianbao Yang, Zhengzhong Tu, Zihao Li, Yunlong Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation.

Yunhong He, Zhengqing Yuan, Zhengzhong Tu, Yanfang Ye, Lichao Sun

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

FlowSteer: Conditioning Flow Field for Consistent Image Restoration.

Tharindu Wickremasinghe, Chenyang Qi, Harshana Weligampola, Zhengzhong Tu, Stanley H. Chan

CoRR, December, 2025

Knowing the Answer Isn't Enough: Fixing Reasoning Path Failures in LVLMs.

Chaoyang Wang, Yangfan He, Yiyang Zhou, Yixuan Wang, Jiaqi Liu, Peng Xia, Zhengzhong Tu, Mohit Bansal, Huaxiu Yao

CoRR, December, 2025

NexusFlow: Unifying Disparate Tasks under Partial Supervision via Invertible Flow Networks.

Fangzhou Lin, Yuping Wang, Yuliang Guo, Zixun Huang, Xinyu Huang, Haichong Zhang, Kazunori D. Yamada, Zhengzhong Tu, Liu Ren, Ziming Zhang

CoRR, December, 2025

Charts Are Not Images: On the Challenges of Scientific Chart Editing.

Shawn Li, Ryan A. Rossi, Sungchul Kim, Sunav Choudhary, Franck Dernoncourt, Puneet Mathur, Zhengzhong Tu, Yue Zhao

CoRR, December, 2025

VISTAv2: World Imagination for Indoor Vision-and-Language Navigation.

Yanjia Huang, Xianshun Jiang, Xiangbo Gao, Mingyang Wu, Zhengzhong Tu

CoRR, December, 2025

Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs.

Meng Lu, Ran Xu, Yi Fang, Wenxuan Zhang, Yue Yu, Gaurav Srivastava, Yuchen Zhuang, Mohamed Elhoseiny, Charles Fleming, Carl Yang, Zhengzhong Tu, Yang Xie, Guanghua Xiao, Hanrui Wang, Di Jin, Wenqi Shi, Xuan Wang

CoRR, November, 2025

TimePre: Bridging Accuracy, Efficiency, and Stability in Probabilistic Time-Series Forecasting.

Lingyu Jiang, Lingyu Xu, Peiran Li, Qianwen Ge, Dingyi Zhuang, Shuo Xing, Wenjing Chen, Xiangbo Gao, Ting-Hsuan Chen, Xueying Zhan, Xin Zhang, Ziming Zhang, Zhengzhong Tu, Michael Zielewski, Kazunori D. Yamada, Fangzhou Lin

CoRR, November, 2025

T2T-VICL: Unlocking the Boundaries of Cross-Task Visual In-Context Learning via Implicit Text-Driven VLMs.

Shao-Jun Xia, Huixin Zhang, Zhengzhong Tu

CoRR, November, 2025

Ariadne: A Controllable Framework for Probing and Extending VLM Reasoning Boundaries.

Minghe Shen, Zhuo Zhi, Chonghan Liu, Shuo Xing, Zhengzhong Tu, Che Liu

CoRR, November, 2025

FORGE-Tree: Diffusion-Forcing Tree Search for Long-Horizon Robot Manipulation.

Yanjia Huang, Shuo Liu, Sheng Liu, Qingxiao Xu, Mingyang Wu, Xiangbo Gao, Zhengzhong Tu

CoRR, October, 2025

Background Fades, Foreground Leads: Curriculum-Guided Background Pruning for Efficient Foreground-Centric Collaborative Perception.

Yuheng Wu, Xiangbo Gao, Quang Tau, Zhengzhong Tu, Dongman Lee

CoRR, October, 2025

SafeCoop: Unravelling Full Stack Safety in Agentic Collaborative Driving.

Xiangbo Gao, Tzu-Hsiang Lin, Ruojing Song, Yuheng Wu, Kuan-Ru Huang, Zicheng Jin, Fangzhou Lin, Shinan Liu, Zhengzhong Tu

CoRR, October, 2025

LLMs Can Get "Brain Rot"!

Shuo Xing, Junyuan Hong, Yifan Wang, Runjin Chen, Zhenyu Zhang, Ananth Grama, Zhengzhong Tu, Zhangyang Wang

CoRR, October, 2025

HeadsUp! High-Fidelity Portrait Image Super-Resolution.

Renjie Li, Zihao Zhu, Xiaoyu Wang, Zhengzhong Tu

CoRR, October, 2025

Q-Router: Agentic Video Quality Assessment with Expert Model Routing and Artifact Localization.

Shuo Xing, Soumik Dey, Mingyang Wu, Ashirbad Mishra, Naveen Ravipati, Binbin Li, Hansi Wu, Zhengzhong Tu

CoRR, October, 2025

Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning.

Hengwei Zhao, Zhengzhong Tu, Zhuo Zheng, Wei Wang, Junjue Wang, Rusty Feagin, Wenzhe Jiao

CoRR, October, 2025

SuperGen: An Efficient Ultra-high-resolution Video Generation System with Sketching and Tiling.

Fanjiang Ye, Zepeng Zhao, Yi Mu, Jucheng Shen, Renjie Li, Kaijian Wang, Desen Sun, Saurabh Agarwal, Myungjin Lee, Triston Cao, Aditya Akella, Arvind Krishnamurthy, T. S. Eugene Ng, Zhengzhong Tu, Yuke Wang

CoRR, August, 2025

AdaRing: Towards Ultra-Light Vision-Language Adaptation via Cross-Layer Tensor Ring Decomposition.

Ying Huang, Yuanbin Man, Wenqi Jia, Zhengzhong Tu, Junzhou Huang, Miao Yin

CoRR, August, 2025

KANMixer: Can KAN Serve as a New Modeling Core for Long-term Time Series Forecasting?

Lingyu Jiang, Yuping Wang, Yao Su, Shuo Xing, Wenjing Chen, Xin Zhang, Zhengzhong Tu, Ziming Zhang, Fangzhou Lin, Michael R. Zielewski, Kazunori D. Yamada

CoRR, August, 2025

Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance.

Fengze Yang, Bo Yu, Yang Zhou, Xuewen Luo, Zhengzhong Tu, Chenxi Liu

CoRR, August, 2025

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding.

Renjie Li, Ruijie Ye, Mingyang Wu, Hao (Frank) Yang, Zhiwen Fan, Hezhen Hu, Zhengzhong Tu

CoRR, July, 2025

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality.

Mohamed Elmoghany, Ryan A. Rossi, Seunghyun Yoon, Subhojyoti Mukherjee, Eslam Mohamed Bakr, Puneet Mathur, Gang Wu, Viet Dac Lai, Nedim Lipka, Ruiyi Zhang, Varun Manjunatha, Chien Van Nguyen, Daksh Dangi, Abel Salinas, Mohammad Reza Taesiri, Hongjie Chen, Xiaolei Huang, Joe Barrow, Nesreen K. Ahmed, Hoda Eldardiry, Namyong Park, Yu Wang, Jaemin Cho, Anh Totti Nguyen, Zhengzhong Tu, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt

CoRR, July, 2025

4KAgent: Agentic Any Image to 4K Super-Resolution.

Yushen Zuo, Qi Zheng, Mingyang Wu, Xinrui Jiang, Renjie Li, Jian Wang, Yide Zhang, Gengchen Mai, Lihong V. Wang, James Zou, Xiaoyu Wang, Ming-Hsuan Yang, Zhengzhong Tu

CoRR, July, 2025

Automated Vehicles Should be Connected with Natural Language.

Xiangbo Gao, Keshu Wu, Hao Zhang, Kexin Tian, Yang Zhou, Zhengzhong Tu

CoRR, July, 2025

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration.

Xiangbo Gao, Yuheng Wu, Xuewen Luo, Keshu Wu, Xinghao Chen, Yuping Wang, Chenxi Liu, Yang Zhou, Zhengzhong Tu

CoRR, June, 2025

Demystifying the Visual Quality Paradox in Multimodal Large Language Models.

Shuo Xing, Lanqing Guo, Hongyuan Hua, Seoyoung Lee, Peiran Li, Yufei Wang, Zhangyang Wang, Zhengzhong Tu

CoRR, June, 2025

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems.

Peiran Li, Xinkai Zou, Zhuohang Wu, Ruifeng Li, Shuo Xing, Hanwen Zheng, Zhikai Hu, Yuping Wang, Haoxi Li, Qin Yuan, Yingmo Zhang, Zhengzhong Tu

CoRR, June, 2025

V2X-UniPool: Unifying Multimodal Perception and Knowledge Reasoning for Autonomous Driving.

Xuewen Luo, Fengze Yang, Fan Ding, Xiangbo Gao, Shuo Xing, Yang Zhou, Zhengzhong Tu, Chenxi Liu

CoRR, June, 2025

MoDoMoDo: Multi-Domain Data Mixtures for Multimodal LLM Reinforcement Learning.

Yiqing Liang, Jielin Qiu, Wenhao Ding, Zuxin Liu, James Tompkin, Mengdi Xu, Mengzhou Xia, Zhengzhong Tu, Laixi Shi, Jiacheng Zhu

CoRR, May, 2025

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation.

Chan-Wei Hu, Yueqi Wang, Shuo Xing, Chia-Ju Chen, Zhengzhong Tu

CoRR, May, 2025

DINO-R1: Incentivizing Reasoning Capability in Vision Foundation Models.

Chenbin Pan, Wenbin He, Zhengzhong Tu, Liu Ren

CoRR, May, 2025

CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation.

Pardis Taghavi, Tian Liu, Renjie Li, Reza Langari, Zhengzhong Tu

CoRR, May, 2025

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen.

Zihao Li, Xinyuan Cao, Xiangbo Gao, Kexin Tian, Keshu Wu, Mohammad Anis, Hao Zhang, Keke Long, Jiwan Jiang, Xiaopeng Li, Yunlong Zhang, Tianbao Yang, Dominique Lord, Zhengzhong Tu, Yang Zhou

CoRR, May, 2025

VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction.

Zhiwen Fan, Jian Zhang, Renjie Li, Junge Zhang, Runjin Chen, Hezhen Hu, Kevin Wang, Huaizhi Qu, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Tianlong Chen, Jiachen Li, Zhengzhong Tu, Zhangyang Wang, Rakesh Ranjan

CoRR, May, 2025

SounDiT: Geo-Contextual Soundscape-to-Landscape Generation.

Junbo Wang, Haofeng Tan, Bowen Liao, Albert Jiang, Teng Fei, Qixing Huang, Zhengzhong Tu, Shan Ye, Yuhao Kang

CoRR, May, 2025

DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization.

Gang Li, Ming Lin, Tomer Galanti, Zhengzhong Tu, Tianbao Yang

CoRR, May, 2025

Generative AI for Autonomous Driving: Frontiers and Opportunities.

Yuping Wang, Shuo Xing, Cui Can, Renjie Li, Hongyuan Hua, Kexin Tian, Zhaobin Mo, Xiangbo Gao, Keshu Wu, Sulong Zhou, Hengxu You, Juntong Peng, Junge Zhang, Zehao Wang, Rui Song, Mingxuan Yan, Walter Zimmer, Xingcheng Zhou, Peiran Li, Zhaohan Lu, Chia-Ju Chen, Yue Huang, Ryan A. Rossi, Lichao Sun, Hongkai Yu, Zhiwen Fan, Hao (Frank) Yang, Yuhao Kang, Ross Greer, Chenxi Liu, Eun Hak Lee, Xuan Di, Xinyue Ye, Liu Ren, Alois Knoll, Xiaopeng Li, Shuiwang Ji, Masayoshi Tomizuka, Marco Pavone, Laurence Tianruo Yang, Jing Du, Ming-Hsuan Yang, Hua Wei, Ziran Wang, Yang Zhou, Jiachen Li, Zhengzhong Tu

CoRR, May, 2025

VISTA: Generative Visual Imagination for Vision-and-Language Navigation.

Yanjia Huang, Mingyang Wu, Renjie Li, Zhengzhong Tu

CoRR, May, 2025

NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results.

Nickolay Safonov, Alexey Bryncev, Andrey Moskalenko, Dmitry Kulikov, Dmitriy S. Vatolin, Radu Timofte, Haibo Lei, Qifan Gao, Qing Luo, Yaqing Li, Jie Song, Shaozhe Hao, Meisong Zheng, Jingyi Xu, Chengbin Wu, Jiahui Liu, Ying Chen, Xin Deng, Mai Xu, Peipei Liang, Jie Ma, Junjie Jin, Yingxue Pang, Fangzhou Luo, Kai Chen, Shijie Zhao, Mingyang Wu, Renjie Li, Yushen Zuo, Shengyun Zhong, Zhengzhong Tu

CoRR, May, 2025

The Role of Open-Source LLMs in Shaping the Future of GeoAI.

Xiao Huang, Zhengzhong Tu, Xinyue Ye, Michael F. Goodchild

CoRR, April, 2025

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results.

Xin Li, Kun Yuan, Bingchen Li, Fengbin Guan, Yizhen Shao, Zihao Yu, Xijun Wang, Yiting Lu, Wei Luo, Suhang Yao, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Yabin Zhang, Ao-Xiang Zhang, Tianwu Zhi, Jianzhao Liu, Yang Li, Jingwen Xu, Yiting Liao, Yushen Zuo, Mingyang Wu, Renjie Li, Shengyun Zhong, Zhengzhong Tu, Yufan Liu, Xiangguang Chen, Zuowei Cao, Minhao Tang, Shan Liu, Kexin Zhang, Jingfen Xie, Yan Wang, Kai Chen, Shijie Zhao, Yunchen Zhang, Xiangkai Xu, Hong Gao, Ji Shi, Yiming Bao, Xiugang Dong, Xiangsheng Zhou, Yaofeng Tu, Ying Liang, Yiwen Wang, Xinning Chai, Yuxuan Zhang, Zhengxue Cheng, Yingsheng Qin, Yucai Yang, Rong Xie, Li Song, Wei Sun, Kang Fu, Linhan Cao, Dandan Zhu, Kaiwei Zhang, Yucheng Zhu, Zicheng Zhang, Menghan Hu, Xiongkuo Min, Guangtao Zhai, Zhi Jin, Jiawei Wu, Wei Wang, Wenjian Zhang, Yuhai Lan, Gaoxiong Yi, Hengyuan Na, Wang Luo, Di Wu, Mingyin Bai, Jiawang Du, Zilong Lu, Zhenyu Jiang, Hui Zeng, Ziguan Cui, Zongliang Gan, Guijin Tang, Xinglin Xie, Kehuan Song, Xiaoqiang Lu, Licheng Jiao, Fang Liu, Xu Liu, Puhua Chen, Ha Thu Nguyen, Katrien De Moor, Seyed Ali Amirshahi, Mohamed-Chaker Larabi, Qi Tang, Linfeng He, Zhiyong Gao, Zixuan Gao, Guohua Zhang, Zhiye Huang, Yi Deng, Qingmiao Jiang, Lu Chen

CoRR, April, 2025

The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report.

Bin Ren, Hang Guo, Lei Sun, Zongwei Wu, Radu Timofte, Yawei Li, Yao Zhang, Xinning Chai, Zhengxue Cheng, Yingsheng Qin, Yucai Yang, Li Song, Hongyuan Yu, Pufan Xu, Cheng Wan, Zhijuan Huang, Peng Guo, Shuyuan Cui, Chenjun Li, Xuehai Hu, Pan Pan, Xin Zhang, Heng Zhang, Qing Luo, Linyan Jiang, Haibo Lei, Qifang Gao, Yaqing Li, Weihua Luo, Tsing Li, Qing Wang, Yi Liu, Yang Wang, Hongyu An, Liou Zhang, Shijie Zhao, Lianhong Song, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Jing Wei, Mengyang Wang, Ruilong Guo, Qian Wang, Qingliang Liu, Yang Cheng, Davinci, Enxuan Gu, Pinxin Liu, Yongsheng Yu, Hang Hua, Yunlong Tang, Shihao Wang, Yukun Yang, Zhiyu Zhang, Jiyu Wu, Jiancheng Huang, Yifan Liu, Yi Huang, Shifeng Chen, Rui Chen, Yi Feng, Mingxi Li, Cailu Wan, Xiangji Wu, Zibin Liu, Jinyang Zhong, Kihwan Yoon, Ganzorig Gankhuyag, Shengyun Zhong, Mingyang Wu, Renjie Li, Yushen Zuo, Zhengzhong Tu, Zongang Gao, Guannan Chen, Yuan Tian, Wenhui Chen, Weijun Yuan, Zhan Li, Yihang Chen, Yifan Deng, Ruting Deng, Yilin Zhang, Huan Zheng, Yanyan Wei, Wenxuan Zhao, Suiyi Zhao, Fei Wang, Kun Li, Yinggan Tang, Mengjie Su, Jae-hyeon Lee, Dong-Hyeop Son, Ui-Jin Choi, Tiancheng Shao, Yuqing Zhang, Mengcheng Ma

CoRR, April, 2025

Can Large Vision Language Models Read Maps Like a Human?

Shuo Xing, Zezhou Sun, Shuangyu Xie, Kaiyuan Chen, Yanjia Huang, Yuping Wang, Jiachen Li, Dezhen Song, Zhengzhong Tu

CoRR, March, 2025

PANDORA: Diffusion Policy Learning for Dexterous Robotic Piano Playing.

Yanjia Huang, Renjie Li, Zhengzhong Tu

CoRR, March, 2025

DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning.

Chengxuan Qian, Shuo Xing, Shawn Li, Yue Zhao, Zhengzhong Tu

CoRR, March, 2025

Generative AI in Transportation Planning: A Survey.

Longchao Da, Tiejin Chen, Zhuoheng Li, Shreyas Bachiraju, Huaiyuan Yao, Li Li, Yushun Dong, Xiyang Hu, Zhengzhong Tu, Dongjie Wang, Yue Zhao, Xuanyu Zhou, Ram Pendyala, Benjamin Stabler, Yezhou Yang, Xuesong Zhou, Hua Wei

CoRR, March, 2025

V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors.

Keshu Wu, Pei Li, Yang Zhou, Rui Gan, Junwei You, Yang Cheng, Jingwen Zhu, Steven T. Parker, Bin Ran, David A. Noyce, Zhengzhong Tu

CoRR, March, 2025

Complex LLM Planning via Automated Heuristics Discovery.

Hongyi Ling, Shubham Parashar, Sambhav Khurana, Blake Olson, Anwesha Basu, Gaurangi Sinha, Zhengzhong Tu, James Caverlee, Shuiwang Ji

CoRR, February, 2025

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.

Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang

CoRR, February, 2025

Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization.

Shuo Xing, Yuping Wang, Peiran Li, Ruizheng Bai, Yueqi Wang, Chengxuan Qian, Huaxiu Yao, Zhengzhong Tu

CoRR, February, 2025

V2X-ViTv2: Improved Vision Transformers for Vehicle-to-Everything Cooperative Perception.

Runsheng Xu, Chia-Ju Chen, Zhengzhong Tu, Ming-Hsuan Yang

IEEE Trans. Pattern Anal. Mach. Intell., January, 2025

AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving.

Shuo Xing, Hongyuan Hua, Xiangbo Gao, Shenzhe Zhu, Renjie Li, Kexin Tian, Xiaopeng Li, Heng Huang, Tianbao Yang, Zhangyang Wang, Yang Zhou, Huaxiu Yao, Zhengzhong Tu

Trans. Mach. Learn. Res., 2025

Bigger is not Always Better: Scaling Properties of Latent Diffusion Models.

Kangfu Mei, Zhengzhong Tu, Mauricio Delbracio, Hossein Talebi, Vishal M. Patel, Peyman Milanfar

Trans. Mach. Learn. Res., 2025

Subjective and Objective Quality Assessment of Banding Artifacts on Compressed Videos.

Qi Zheng, Li-Heng Chen, Chenlong He, Neil Birkbeck, Yilin Wang, Balu Adsumilli, Alan C. Bovik, Yibo Fan, Zhengzhong Tu

IEEE Trans. Image Process., 2025

Understanding, detecting, and removing perceptual banding artifacts in compressed videos.

Zhengzhong Tu, Chia-Ju Chen, Jessie Lin, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

Signal Process. Image Commun., 2025

OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving.

Shuo Xing, Chengyuan Qian, Yuping Wang, Hongyuan Hua, Kexin Tian, Yang Zhou, Zhengzhong Tu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection.

Anant Mehta, Bryant McArthur, Nagarjuna Kolloju, Zhengzhong Tu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

CoCMT: Communication-Efficient Cross-Modal Transformer for Collaborative Perception.

Rujia Wang, Xiangbo Gao, Hao Xiang, Runsheng Xu, Zhengzhong Tu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

CoMamba: Real-time Cooperative Perception Unlocked with State-Space Models.

Jinlong Li, Xinyu Liu, Baolu Li, Runsheng Xu, Jiachen Li, Hongkai Yu, Zhengzhong Tu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

V2X-DGW: Domain Generalization for Multi-Agent Perception Under Adverse Weather Conditions.

Baolu Li, Jinlong Li, Xinyu Liu, Runsheng Xu, Zhengzhong Tu, Jiacheng Guo, Qin Zou, Xiaopeng Li, Hongkai Yu

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

4K4DGen: Panoramic 4D Generation at 4K Resolution.

Renjie Li, Panwang Pan, Bangbang Yang, Dejia Xu, Shijie Zhou, Xuanyang Zhang, Zeming Li, Achuta Kadambi, Zhangyang Wang, Zhengzhong Tu, Zhiwen Fan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

STAMP: Scalable Task- And Model-agnostic Collaborative Perception.

Xiangbo Gao, Runsheng Xu, Jiachen Li, Ziran Wang, Zhiwen Fan, Zhengzhong Tu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Uniocc: a Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving.

Yuping Wang, Xiangyu Huang, Xiaokang Sun, Mingxuan Yan, Shuo Xing, Zhengzhong Tu, Jiachen Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving.

Kexin Tian, Jingrui Mao, Yunlong Zhang, Jiwan Jiang, Yang Zhou, Zhengzhong Tu

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results.

Yixiao Li, Xin Li, Chris Wei Zhou, Shuo Xing, Hadi Amirpour, Xiaoshuai Hao, Guanghui Yue, Baoquan Zhao, Weide Liu, Xiaoyuan Yang, Zhengzhong Tu, Xinyu Li, Chuanbiao Song, Chenqi Zhang, Jun Lan, Huijia Zhu, Weiqiang Wang, Xiaoyan Sun, Shishun Tian, Dongyang Yan, Weixia Zhang, Junlin Chen, Wei Sun, Zhihua Wang, Zhuohang Shi, Zhizun Luo, Hang Ouyang, Tianxin Xiao, Fan Yang, Zhaowang Wu, Kaixin Deng

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Secure On-Device Video OOD Detection without Backpropagation.

Shawn Li, Peilin Cai, Yuxiao Zhou, Zhiyu Ni, Renjie Liang, You Qin, Yi Nian, Zhengzhong Tu, Xiyang Hu, Yue Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Drama-X: A Fine-Grained Intent Prediction and Risk Reasoning Benchmark for Driving.

Mihir Godbole, Xiangbo Gao, Zhengzhong Tu

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality.

Mohamed Elmoghany, Ryan A. Rossi, Seunghyun Yoon, Subhojyoti Mukherjee, Eslam Mohamed Bakr, Puneet Mathur, Gang Wu, Viet Dac Lai, Nedim Lipka, Ruiyi Zhang, Varun Manjunatha, Chien Nguyen, Daksh Dangi, Abel Salinas, Hongjie Chen, Xiaolei Huang, Joe Barrow, Nesreen K. Ahmed, Hoda Eldardiry, Namyong Park, Yu Wang, Zhengzhong Tu, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution.

Aditya Arora, Zhengzhong Tu, Yufei Wang, Ruizheng Bai, Jian Wang, Sizhuo Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization.

Shuo Xing, Peiran Li, Yuping Wang, Ruizheng Bai, Yueqi Wang, Chan-Wei Hu, Chengxuan Qian, Huaxiu Yao, Zhengzhong Tu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing.

Hanhui Wang, Yihua Zhang, Ruizheng Bai, Yue Zhao, Sijia Liu, Zhengzhong Tu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models.

Zilan Wang, Junfeng Guo, Jiacheng Zhu, Yiming Li, Heng Huang, Muhao Chen, Zhengzhong Tu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results.

Nickolay Safonov, Alexey Bryntsev, Andrey Moskalenko, Dmitry Kulikov, Dmitriy S. Vatolin, Radu Timofte, Haibo Lei, Qifan Gao, Qing Luo, Yaqing Li, Jie Song, Shaozhe Hao, Meisong Zheng, Jingyi Xu, Chengbin Wu, Jiahui Liu, Ying Chen, Xin Deng, Mai Xu, Peipei Liang, Jie Ma, Junjie Jin, Yingxue Pang, Fangzhou Luo, Kai Chen, Shijie Zhao, Mingyang Wu, Renjie Li, Yushen Zuo, Zhengzhong Tu, Shengyun Zhong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results.

Xin Li, Kun Yuan, Bingchen Li, Fengbin Guan, Yizhen Shao, Zihao Yu, Xijun Wang, Yiting Lu, Wei Luo, Suhang Yao, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Yabin Zhang, Ao-Xiang Zhang, Tianwu Zhi, Jianzhao Liu, Yang Li, Jingwen Xu, Yiting Liao, Yushen Zuo, Mingyang Wu, Renjie Li, Shengyun Zhong, Zhengzhong Tu, Yufan Liu, Xiangguang Chen, Zuowei Cao, Minhao Tang, Shan Liu, Kexin Zhang, Jingfen Xie, Yan Wang, Kai Chen, Shijie Zhao, Yunchen Zhang, Xiangkai Xu, Hong Gao, Ji Shi, Yiming Bao, Xiugang Dong, Xiangsheng Zhou, Yaofeng Tu, Ying Liang, Yiwen Wang, Xinning Chai, Yuxuan Zhang, Zhengxue Cheng, Yingsheng Qin, Yucai Yang, Rong Xie, Li Song, Wei Sun, Kang Fu, Linhan Cao, Dandan Zhu, Kaiwei Zhang, Yucheng Zhu, Zicheng Zhang, Menghan Hu, Xiongkuo Min, Guangtao Zhai, Zhi Jin, Jiawei Wu, Wei Wang, Wenjian Zhang, Yuhai Lan, Gaoxiong Yi, Hengyuan Na, Wang Luo, Di Wu, Mingyin Bai, Jiawang Du, Zilong Lu, Zhenyu Jiang, Hui Zeng, Ziguan Cui, Zongliang Gan, Guijin Tang, Xinglin Xie, Kehuan Song, Xiaoqiang Lu, Licheng Jiao, Fang Liu, Xu Liu, Puhua Chen, Ha Thu Nguyen, Katrien De Moor, Seyed Ali Amirshahi, Mohamed-Chaker Larabi, Qi Tang, Linfeng He, Zhiyong Gao, Zixuan Gao, Guohua Zhang, Zhiye Huang, Yi Deng, Qingmiao Jiang, Lu Chen, Yi Yang, Xi Liao, Nourine Mohammed Nadir, Yuxuan Jiang, Qiang Zhu, Siyue Teng, Fan Zhang, Shuyuan Zhu, Bing Zeng, David Bull, Meiqin Liu, Chao Yao, Yao Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection.

Shawn Li, Huixian Gong, Hao Dong, Tiankai Yang, Zhengzhong Tu, Yue Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

LangCoop: Collaborative Driving with Language.

Xiangbo Gao, Yuheng Wu, Rujia Wang, Chenxi Liu, Yang Zhou, Zhengzhong Tu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers.

Ruoxi Zhu, Zhengzhong Tu, Jiaming Liu, Alan C. Bovik, Yibo Fan

IEEE Trans. Image Process., 2024

FAVER: Blind quality prediction of variable frame rate videos.

Qi Zheng, Zhengzhong Tu, Pavan C. Madhusudana, Xiaoyang Zeng, Alan C. Bovik, Yibo Fan

Signal Process. Image Commun., 2024

Political-LLM: Large Language Models in Political Science.

Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong

CoRR, 2024

Video Quality Assessment: A Comprehensive Survey.

Qi Zheng, Yibo Fan, Leilei Huang, Tianyu Zhu, Jiaming Liu, Zhijian Hao, Shuo Xing, Chia-Ju Chen, Xiongkuo Min, Alan C. Bovik, Zhengzhong Tu

CoRR, 2024

Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models.

Tinghui Zhu, Qin Liu, Fei Wang, Zhengzhong Tu, Muhao Chen

CoRR, 2024

AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results.

Marcos V. Conde, Saman Zadtootaghaj, Nabajeet Barman, Radu Timofte, Chenlong He, Qi Zheng, Ruoxi Zhu, Zhengzhong Tu, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Zicheng Zhang, Haoning Wu, Yingjie Zhou, Chunyi Li, Xiaohong Liu, Weisi Lin, Guangtao Zhai, Wei Sun, Yuqin Cao, Yanwei Jiang, Jun Jia, Zhichao Zhang, Zijian Chen, Weixia Zhang, Xiongkuo Min, Steve Göring, Zihao Qi, Chen Feng

CoRR, 2024

V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions.

Baolu Li, Jinlong Li, Xinyu Liu, Runsheng Xu, Zhengzhong Tu, Jiacheng Guo, Xiaopeng Li, Hongkai Yu

CoRR, 2024

AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results.

Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova, Dmitriy S. Vatolin, Radu Timofte, Ziheng Jia, Zicheng Zhang, Wei Sun, Jiaying Qian, Yuqin Cao, Yinan Sun, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai, Kanjar De, Qing Luo, Ao-Xiang Zhang, Peng Zhang, Haibo Lei, Linyan Jiang, Yaqing Li, Wenhui Meng, Xiaoheng Tan, Haiqiang Wang, Xiaozhong Xu, Shan Liu, Zhenzhong Chen, Zhengxue Cheng, Jiahao Xiao, Jun Xu, Chenlong He, Qi Zheng, Ruoxi Zhu, Min Li, Yibo Fan, Zhengzhong Tu

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

SPIRE: Semantic Prompt-Driven Image Restoration.

Chenyang Qi, Zhengzhong Tu, Keren Ye, Mauricio Delbracio, Peyman Milanfar, Qifeng Chen, Hossein Talebi

Proceedings of the Computer Vision - ECCV 2024, 2024

CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation.

Kangfu Mei, Mauricio Delbracio, Hossein Talebi, Zhengzhong Tu, Vishal M. Patel, Peyman Milanfar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving.

Jinlong Li, Baolu Li, Zhengzhong Tu, Xinyu Liu, Qing Guo, Felix Juefei-Xu, Runsheng Xu, Hongkai Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

COVER: A Comprehensive Video Quality Evaluator.

Chenlong He, Qi Zheng, Ruoxi Zhu, Xiaoyang Zeng, Yibo Fan, Zhengzhong Tu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results.

Marcos V. Conde, Saman Zadtootaghaj, Nabajeet Barman, Radu Timofte, Chenlong He, Qi Zheng, Ruoxi Zhu, Zhengzhong Tu, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Zicheng Zhang, Haoning Wu, Yingjie Zhou, Chunyi Li, Xiaohong Liu, Weisi Lin, Guangtao Zhai, Wei Sun, Yuqin Cao, Yanwei Jiang, Jun Jia, Zhichao Zhang, Zijian Chen, Weixia Zhang, Xiongkuo Min, Steve Göring, Zihao Qi, Chen Feng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

TIP: Text-Driven Image Processing with Semantic and Restoration Instructions.

Chenyang Qi, Zhengzhong Tu, Keren Ye, Mauricio Delbracio, Peyman Milanfar, Qifeng Chen, Hossein Talebi

CoRR, 2023

Conditional Diffusion Distillation.

Kangfu Mei, Mauricio Delbracio, Hossein Talebi, Zhengzhong Tu, Vishal M. Patel, Peyman Milanfar

CoRR, 2023

Pik-Fix: Restoring and Colorizing Old Photos.

Runsheng Xu, Zhengzhong Tu, Yuanqi Du, Xiaoyu Dong, Jinlong Li, Zibo Meng, Jiaqi Ma, Alan C. Bovik, Hongkai Yu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

MULLER: Multilayer Laplacian Resizer for Vision.

Zhengzhong Tu, Peyman Milanfar, Hossein Talebi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception.

Runsheng Xu, Xin Xia, Jinlong Li, Hanzhao Li, Shuo Zhang, Zhengzhong Tu, Zonglin Meng, Hao Xiang, Xiaoyu Dong, Rui Song, Hongkai Yu, Bolei Zhou, Jiaqi Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Completely Blind Video Quality Evaluator.

Qi Zheng, Zhengzhong Tu, Xiaoyang Zeng, Alan C. Bovik, Yibo Fan

IEEE Signal Process. Lett., 2022

Perceptual Quality Assessment of UGC Gaming Videos.

Xiangxu Yu, Zhengzhong Tu, Neil Birkbeck, Yilin Wang, Balu Adsumilli, Alan C. Bovik

CoRR, 2022

Subjective Quality Assessment of User-Generated Content Gaming Videos.

Xiangxu Yu, Zhengzhong Tu, Zhenqiang Ying, Alan C. Bovik, Neil Birkbeck, Yilin Wang, Balu Adsumilli

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

Blind Video Quality Assessment via Space-Time Slice Statistics.

Qi Zheng, Zhengzhong Tu, Zhijian Hao, Xiaoyang Zeng, Alan C. Bovik, Yibo Fan

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

No-Reference Quality Assessment of Variable Frame-Rate Videos Using Temporal Bandpass Statistics.

Qi Zheng, Zhengzhong Tu, Yibo Fan, Xiaoyang Zeng, Alan C. Bovik

Proceedings of the IEEE International Conference on Acoustics, 2022

V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer.

Runsheng Xu, Hao Xiang, Zhengzhong Tu, Xin Xia, Ming-Hsuan Yang, Jiaqi Ma

Proceedings of the Computer Vision - ECCV 2022, 2022

MaxViT: Multi-axis Vision Transformer.

Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan C. Bovik, Yinxiao Li

Proceedings of the Computer Vision, 2022

MAXIM: Multi-Axis MLP for Image Processing.

Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan C. Bovik, Yinxiao Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers.

Runsheng Xu, Zhengzhong Tu, Hao Xiang, Wei Shao, Bolei Zhou, Jiaqi Ma

Proceedings of the Conference on Robot Learning, 2022

2021

UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content.

Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

IEEE Trans. Image Process., 2021

Predicting Eye Fixations Under Distortion Using Bayesian Observers.

Zhengzhong Tu

CoRR, 2021

RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content.

Zhengzhong Tu, Xiangxu Yu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

CoRR, 2021

Efficient User-Generated Video Quality Prediction.

Zhengzhong Tu, Chia-Ju Chen, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

Proceedings of the Picture Coding Symposium, 2021

A Temporal Statistics Model For UGC Video Quality Prediction.

Zhengzhong Tu, Chia-Ju Chen, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Video Quality Assessment of User Generated Content: A Benchmark Study and a New Model.

Zhengzhong Tu, Chia-Ju Chen, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Regression or classification? New methods to evaluate no-reference picture and video quality models.

Zhengzhong Tu, Chia-Ju Chen, Li-Heng Chen, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Adaptive Debanding Filter.

Zhengzhong Tu, Jessie Lin, Yilin Wang, Balu Adsumilli, Alan C. Bovik

IEEE Signal Process. Lett., 2020

A Comparative Evaluation Of Temporal Pooling Methods For Blind Video Quality Assessment.

Zhengzhong Tu, Chia-Ju Chen, Li-Heng Chen, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

Proceedings of the IEEE International Conference on Image Processing, 2020

BBAND INDEX: A NO-REFERENCE BANDING ARTIFACT PREDICTOR.

Zhengzhong Tu, Jessie Lin, Yilin Wang, Balu Adsumilli, Alan C. Bovik

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Fitness Done Right: a Real-time Intelligent Personal Trainer for Exercise Correction.

Yun Chen, Yiyue Chen, Zhengzhong Tu

CoRR, 2019

2018

Panoramic video delivery based on Laplace compensation and Sphere-Markov probability model.

Tongyu Zong, Zhengzhong Tu, Li Ai, Xueliang Xi, Yize Jin, Xiaoyang Zeng, Yibo Fan

Proceedings of the IEEE International Conference on Consumer Electronics, 2018

Content adaptive tiling method based on user access preference for streaming panoramic video.

Zhengzhong Tu, Tongyu Zong, Xueliang Xi, Li Ai, Yize Jin, Xiaoyang Zeng, Yibo Fan

Proceedings of the IEEE International Conference on Consumer Electronics, 2018