Augmented Feedback in Semantic Segmentation Under Image Level Supervision. - Xiaojuan Qi 001; Zhengzhe Liu; Jianping Shi; Hengshuang Zhao; Jiaya Jia (ECCV (8), 2016)

Pyramid Scene Parsing Network. - Hengshuang Zhao; Jianping Shi; Xiaojuan Qi 001; Xiaogang Wang 001; Jiaya Jia (CVPR, 2017)

Automatic Real-time Background Cut for Portrait Videos. - Xiaoyong Shen; Ruixing Wang; Hengshuang Zhao; Jiaya Jia (CoRR, 2017)

SegStereo: Exploiting Semantic Information for Disparity Estimation. - Guorun Yang; Hengshuang Zhao; Jianping Shi; Zhidong Deng; Jiaya Jia (ECCV (7), 2018)

ICNet for Real-Time Semantic Segmentation on High-Resolution Images. - Hengshuang Zhao; Xiaojuan Qi 001; Xiaoyong Shen; Jianping Shi; Jiaya Jia (ECCV (3), 2018)

Compositing-Aware Image Search. - Hengshuang Zhao; Xiaohui Shen; Zhe Lin 001; Kalyan Sunkavalli; Brian L. Price; Jiaya Jia (ECCV (3), 2018)

PSANet: Point-wise Spatial Attention Network for Scene Parsing. - Hengshuang Zhao; Yi Zhang 039; Shu Liu 005; Jianping Shi; Chen Change Loy; Dahua Lin; Jiaya Jia (ECCV (9), 2018)

UPSNet: A Unified Panoptic Segmentation Network. - Yuwen Xiong; Renjie Liao; Hengshuang Zhao; Rui Hu 001; Min Bai; Ersin Yumer; Raquel Urtasun (CVPR, 2019)

PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing. - Hengshuang Zhao; Li Jiang 009; Chi-Wing Fu; Jiaya Jia (CVPR, 2019)

Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation. - Li Jiang 009; Hengshuang Zhao; Shu Liu 005; Xiaoyong Shen; Chi-Wing Fu; Jiaya Jia (ICCV, 2019)

Region Refinement Network for Salient Object Detection. - Zhuotao Tian; Hengshuang Zhao; Michelle Shu; Jiaze Wang; Ruiyu Li; Xiaoyong Shen; Jiaya Jia (CoRR, 2019)

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation. - Li Jiang 009; Hengshuang Zhao; Shaoshuai Shi; Shu Liu 005; Chi-Wing Fu; Jiaya Jia (CVPR, 2020)

Exploring Self-Attention for Image Recognition. - Hengshuang Zhao; Jiaya Jia; Vladlen Koltun (CVPR, 2020)

GridMask Data Augmentation. - Pengguang Chen; Shu Liu 005; Hengshuang Zhao; Jiaya Jia (CoRR, 2020)

Generalized Few-Shot Semantic Segmentation. - Zhuotao Tian; Xin Lai; Li Jiang 009; Michelle Shu; Hengshuang Zhao; Jiaya Jia (CoRR, 2020)

Hierarchical Interaction Network for Video Object Segmentation from Referring Expressions. - Zhao Yang 002; Yansong Tang; Luca Bertinetto; Hengshuang Zhao; Philip H. S. Torr (BMVC, 2021)

Distilling Knowledge via Knowledge Review. - Pengguang Chen; Shu Liu 005; Hengshuang Zhao; Jiaya Jia (CVPR, 2021)

Bidirectional Projection Network for Cross Dimension Scene Understanding. - Wenbo Hu 002; Hengshuang Zhao; Li Jiang 009; Jiaya Jia; Tien-Tsin Wong (CVPR, 2021)

Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency. - Xin Lai; Zhuotao Tian; Li Jiang 009; Shu Liu 005; Hengshuang Zhao; Liwei Wang 009; Jiaya Jia (CVPR, 2021)

Fully Convolutional Networks for Panoptic Segmentation. - Yanwei Li; Hengshuang Zhao; Xiaojuan Qi 001; Liwei Wang 009; Zeming Li; Jian Sun 001; Jiaya Jia (CVPR, 2021)

PAConv: Position Adaptive Convolution With Dynamic Kernel Assembling on Point Clouds. - Mutian Xu; Runyu Ding; Hengshuang Zhao; Xiaojuan Qi 001 (CVPR, 2021)

Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers. - Sixiao Zheng; Jiachen Lu; Hengshuang Zhao; Xiatian Zhu; Zekun Luo; Yabiao Wang; Yanwei Fu 001; Jianfeng Feng; Tao Xiang 002; Philip H. S. Torr; Li Zhang 040 (CVPR, 2021)

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation. - Xiaogang Xu 002; Hengshuang Zhao; Jiaya Jia (ICCV, 2021)

Point Transformer. - Hengshuang Zhao; Li Jiang 009; Jiaya Jia; Philip H. S. Torr; Vladlen Koltun (ICCV, 2021)

Dual-Cross Central Difference Network for Face Anti-Spoofing. - Zitong Yu; Yunxiao Qin; Hengshuang Zhao; Xiaobai Li; Guoying Zhao 001 (IJCAI, 2021)

Do Different Tracking Tasks Require Different Appearance Models? - Zhongdao Wang; Hengshuang Zhao; Ya-Li Li 001; Shengjin Wang; Philip H. S. Torr; Luca Bertinetto (NeurIPS, 2021)

Adversarial Examples on Segmentation Models Can be Easy to Transfer. - Jindong Gu; Hengshuang Zhao; Volker Tresp; Philip H. S. Torr (CoRR, 2021)

LAVT: Language-Aware Vision Transformer for Referring Image Segmentation. - Zhao Yang 002; Jiaqi Wang 003; Yansong Tang; Kai Chen 026; Hengshuang Zhao; Philip H. S. Torr (CVPR, 2022)

FocalClick: Towards Practical Interactive Image Segmentation. - Xi Chen; Zhiyan Zhao; Yilei Zhang; Manni Duan; Donglian Qi; Hengshuang Zhao (CVPR, 2022)

Stratified Transformer for 3D Point Cloud Segmentation. - Xin Lai; Jianhui Liu; Li Jiang 009; Liwei Wang 009; Hengshuang Zhao; Shu Liu 005; Xiaojuan Qi 001; Jiaya Jia (CVPR, 2022)

Generalized Few-shot Semantic Segmentation. - Zhuotao Tian; Xin Lai; Li Jiang 009; Shu Liu 005; Michelle Shu; Hengshuang Zhao; Jiaya Jia (CVPR, 2022)

PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer. - Zitong Yu; Yuming Shen; Jingang Shi; Hengshuang Zhao; Philip H. S. Torr; Guoying Zhao 001 (CVPR, 2022)

SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness. - Jindong Gu; Hengshuang Zhao; Volker Tresp; Philip H. S. Torr (ECCV (29), 2022)

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation. - Xin Lai; Zhuotao Tian; Xiaogang Xu 002; Ying-Cong Chen; Shu Liu 005; Hengshuang Zhao; Liwei Wang 009; Jiaya Jia (ECCV (33), 2022)

MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning. - Xiaogang Xu 002; Hengshuang Zhao; Vibhav Vineet; Ser-Nam Lim; Antonio Torralba 001 (ECCV (27), 2022)

Prototype-Voxel Contrastive Learning for LiDAR Point Cloud Panoptic Segmentation. - Minzhe Liu; Qiang Zhou; Hengshuang Zhao; Jianing Li 001; Yuan Du; Kurt Keutzer; Li Du; Shanghang Zhang (ICRA, 2022)

Point Transformer V2: Grouped Vector Attention and Partition-based Pooling. - Xiaoyang Wu 002; Yixing Lao; Li Jiang 009; Xihui Liu; Hengshuang Zhao (NeurIPS, 2022)

Universal Adaptive Data Augmentation. - Xiaogang Xu 002; Hengshuang Zhao; Philip H. S. Torr (CoRR, 2022)

General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments. - Xiaogang Xu 002; Hengshuang Zhao; Philip H. S. Torr; Jiaya Jia (CoRR, 2022)

Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners. - Zitian Chen; Yikang Shen; Mingyu Ding; Zhenfang Chen; Hengshuang Zhao; Erik G. Learned-Miller; Chuang Gan 001 (CoRR, 2022)

Prior Guided Feature Enrichment Network for Few-Shot Segmentation. - Zhuotao Tian; Hengshuang Zhao; Michelle Shu; Zhicheng Yang; Ruiyu Li; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation. - Zhao Yang 002; Jiaqi Wang 003; Yansong Tang; Kai Chen 026; Hengshuang Zhao; Philip H. S. Torr (AAAI, 2023)

Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning. - Xiaoyang Wu 002; Xin Wen 004; Xihui Liu; Hengshuang Zhao (CVPR, 2023)

Detecting Everything in the Open World: Towards Universal Object Detection. - Zhenyu Wang 005; Yali Li 001; Xi Chen; Ser-Nam Lim; Antonio Torralba 001; Hengshuang Zhao; Shengjin Wang (CVPR, 2023)

Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners. - Zitian Chen; Yikang Shen; Mingyu Ding; Zhenfang Chen; Hengshuang Zhao; Erik G. Learned-Miller; Chuang Gan 001 (CVPR, 2023)

Open-vocabulary Panoptic Segmentation with Embedding Modulation. - Xi Chen; Shuang Li 013; Ser-Nam Lim; Antonio Torralba 001; Hengshuang Zhao (ICCV, 2023)

Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning. - Lihe Yang; Zhen Zhao 001; Lei Qi 001; Yu Qiao 001; Yinghuan Shi; Hengshuang Zhao (ICCV, 2023)

BT2: Backward-compatible Training with Basis Transformation. - Yifei Zhou; Zilu Li; Abhinav Shrivastava; Hengshuang Zhao; Antonio Torralba 001; Tai-Peng Tian; Ser-Nam Lim (ICCV, 2023)

Universal Adaptive Data Augmentation. - Xiaogang Xu 002; Hengshuang Zhao (IJCAI, 2023)

Uni3DETR: Unified 3D Detection Transformer. - Zhenyu Wang 005; Ya-Li Li 001; Xi Chen; Hengshuang Zhao; Shengjin Wang (NeurIPS, 2023)

CorresNeRF: Image Correspondence Priors for Neural Radiance Fields. - Yixing Lao; Xiaogang Xu 002; Zhipeng Cai; Xihui Liu; Hengshuang Zhao (NeurIPS, 2023)

FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models. - Lihe Yang; Xiaogang Xu 002; Bingyi Kang; Yinghuan Shi; Hengshuang Zhao (NeurIPS, 2023)

TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation. - Rongkun Zheng; Lu Qi; Xi Chen 072; Yi Wang 074; Kun Wang; Yu Qiao 001; Hengshuang Zhao (NeurIPS, 2023)

GeoSpark: Sparking up Point Cloud Segmentation with Geometry Clue. - Zhening Huang; Xiaoyang Wu 002; Hengshuang Zhao; Lei Zhu 003; Shujun Wang; Georgios M. Hadjidemetriou; Ioannis K. Brilakis (CoRR, 2023)

ScribbleSeg: Scribble-based Interactive Image Segmentation. - Xi Chen; Yau Shing Jonathan Cheung; Ser-Nam Lim; Hengshuang Zhao (CoRR, 2023)

VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection. - Zhuoling Li; Chuanrui Zhang; Wei-Chiu Ma; Yipin Zhou; Linyan Huang; Haoqian Wang; Ser-Nam Lim; Hengshuang Zhao (CoRR, 2023)

SAM3D: Segment Anything in 3D Scenes. - Yunhan Yang; Xiaoyang Wu 002; Tong He 001; Hengshuang Zhao; Xihui Liu (CoRR, 2023)

InsightMapper: A Closer Look at Inner-instance Information for Vectorized High-Definition Mapping. - Zhenhua Xu; Kenneth K. Y. Wong; Hengshuang Zhao (CoRR, 2023)

PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm. - Haoyi Zhu; Honghui Yang; Xiaoyang Wu 002; Di Huang; Sha Zhang 002; Xianglong He; Tong He 001; Hengshuang Zhao; Chunhua Shen; Yu Qiao 001; Wanli Ouyang (CoRR, 2023)

A Lightweight Clustering Framework for Unsupervised Semantic Segmentation. - Yau Shing Jonathan Cheung; Xi Chen; Lihe Yang; Hengshuang Zhao (CoRR, 2023)

VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation. - Jinguo Zhu; Xiaohan Ding; Yixiao Ge; Yuying Ge; Sijie Zhao; Hengshuang Zhao; Xiaohua Wang; Ying Shan (CoRR, 2023)

Self-supervised Learning for Enhancing Geometrical Modeling in 3D-Aware Generative Adversarial Network. - Jiarong Guo; Xiaogang Xu 002; Hengshuang Zhao (CoRR, 2023)

Gemini vs GPT-4V: A Preliminary Comparison and Combination of Vision-Language Models Through Qualitative Cases. - Zhangyang Qi; Ye Fang; Mengchen Zhang 001; Zeyi Sun 002; Tong Wu; Ziwei Liu 002; Dahua Lin; Jiaqi Wang 003; Hengshuang Zhao (CoRR, 2023)

Adaptive Perspective Distillation for Semantic Segmentation. - Zhuotao Tian; Pengguang Chen; Xin Lai; Li Jiang 009; Shu Liu 005; Hengshuang Zhao; Bei Yu 001; Ming-Chang Yang; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Fully Convolutional Networks for Panoptic Segmentation With Point-Based Supervision. - Yanwei Li; Hengshuang Zhao; Xiaojuan Qi 001; Yukang Chen; Lu Qi; Liwei Wang 009; Zeming Li; Jian Sun 001; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

PhysFormer++: Facial Video-Based Physiological Measurement with SlowFast Temporal Difference Transformer. - Zitong Yu; Yuming Shen; Jingang Shi; Hengshuang Zhao; Yawen Cui; Jiehua Zhang; Philip H. S. Torr; Guoying Zhao 001 (Int. J. Comput. Vis., 2023)

Open World Entity Segmentation. - Lu Qi; Jason Kuen; Yi Wang 074; Jiuxiang Gu; Hengshuang Zhao; Philip H. S. Torr; Zhe Lin 001; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Patch-Based Separable Transformer for Visual Recognition. - Shuyang Sun; Xiaoyu Yue; Hengshuang Zhao; Philip H. S. Torr; Song Bai 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

OCBEV: Object-Centric BEV Transformer for Multi-View 3D Object Detection. - Zhangyang Qi; Jiaqi Wang 003; Xiaoyang Wu 002; Hengshuang Zhao (3DV, 2024)

Point Transformer V3: Simpler, Faster, Stronger. - Xiaoyang Wu 002; Li Jiang 009; Peng-Shuai Wang; Zhijian Liu; Xihui Liu; Yu Qiao 001; Wanli Ouyang; Tong He 001; Hengshuang Zhao (CVPR, 2024)

AnyDoor: Zero-shot Object-level Image Customization. - Xi Chen 042; Lianghua Huang; Yu Liu 063; Yujun Shen; Deli Zhao; Hengshuang Zhao (CVPR, 2024)

UniMODE: Unified Monocular 3D Object Detection. - Zhuoling Li; Xiaogang Xu 002; Ser-Nam Lim; Hengshuang Zhao (CVPR, 2024)

OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation. - Bohao Peng; Xiaoyang Wu 002; Li Jiang 009; Yukang Chen; Hengshuang Zhao; Zhuotao Tian; Jiaya Jia (CVPR, 2024)

GPT4Point: A Unified Framework for Point-Language Understanding and Generation. - Zhangyang Qi; Ye Fang; Zeyi Sun 002; Xiaoyang Wu 002; Tong Wu; Jiaqi Wang 003; Dahua Lin; Hengshuang Zhao (CVPR, 2024)

GroupContrast: Semantic-Aware Self-Supervised Representation Learning for 3D Understanding. - Chengyao Wang; Li Jiang 009; Xiaoyang Wu 002; Zhuotao Tian; Bohao Peng; Hengshuang Zhao; Jiaya Jia (CVPR, 2024)

Towards Large-Scale 3D Representation Learning with Multi-Dataset Point Prompt Training. - Xiaoyang Wu 002; Zhuotao Tian; Xin Wen 004; Bohao Peng; Xihui Liu; Kaicheng Yu; Hengshuang Zhao (CVPR, 2024)

DreamComposer: Controllable 3D Object Generation via Multi-View Conditions. - Yunhan Yang; Yukun Huang; Xiaoyang Wu 002; Yuan-Chen Guo; Song-Hai Zhang; Hengshuang Zhao; Tong He 001; Xihui Liu (CVPR, 2024)

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. - Lihe Yang; Bingyi Kang; Zilong Huang; Xiaogang Xu 002; Jiashi Feng; Hengshuang Zhao (CVPR, 2024)

UniPAD: A Universal Pre-Training Paradigm for Autonomous Driving. - Honghui Yang; Sha Zhang 002; Di Huang; Xiaoyang Wu 002; Haoyi Zhu; Tong He 001; Shixiang Tang; Hengshuang Zhao; Qibo Qiu; Binbin Lin; Xiaofei He 001; Wanli Ouyang (CVPR, 2024)

Visual Programming for Zero-Shot Open-Vocabulary 3D Visual Grounding. - Zhihao Yuan; Jinke Ren; Chun-Mei Feng 001; Hengshuang Zhao; Shuguang Cui; Zhen Li 026 (CVPR, 2024)

LivePhoto: Real Image Animation with Text-Guided Motion Control. - Xi Chen 042; Zhiheng Liu; Mengting Chen; Yutong Feng; Yu Liu 063; Yujun Shen; Hengshuang Zhao (ECCV (18), 2024)

OpenIns3D: Snap and Lookup for 3D Open-Vocabulary Instance Segmentation. - Zhening Huang; Xiaoyang Wu 002; Xi Chen 042; Hengshuang Zhao; Lei Zhu 003; Joan Lasenby (ECCV (62), 2024)

Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models. - Longxiang Tang; Zhuotao Tian; Kai Li 012; Chunming He; Hantao Zhou; Hengshuang Zhao; Xiu Li 001; Jiaya Jia (ECCV (36), 2024)

OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality Propagation. - Zhenyu Wang 005; Yali Li 001; Taichi Liu; Hengshuang Zhao; Shengjin Wang (ECCV (47), 2024)

InsMapper: Exploring Inner-Instance Information for Vectorized HD Mapping. - Zhenhua Xu; Kwan-Yee K. Wong; Hengshuang Zhao (ECCV (34), 2024)

Pixel-GS: Density Control with Pixel-Aware Gradient for 3D Gaussian Splatting. - Zheng Zhang; Wenbo Hu 002; Yixing Lao; Tong He 001; Hengshuang Zhao (ECCV (19), 2024)

LogoSticker: Inserting Logos Into Diffusion Models for Customized Generation. - Mingkang Zhu; Xi Chen; Zhongdao Wang; Hengshuang Zhao; Jiaya Jia (ECCV (60), 2024)

Influencer Backdoor Attack on Semantic Segmentation. - Haoheng Lan; Jindong Gu; Philip Torr 001; Hengshuang Zhao (ICLR, 2024)

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. - Tang Tao; Longfei Gao; Guangrun Wang; Yixing Lao; Peng Chen; Hengshuang Zhao; Dayang Hao; Xiaodan Liang; Mathieu Salzmann; Kaicheng Yu (ACM Multimedia, 2024)

LION: Linear Group RNN for 3D Object Detection in Point Clouds. - Zhe Liu 033; Jinghua Hou; Xinyu Wang 024; Xiaoqing Ye; Jingdong Wang 001; Hengshuang Zhao; Xiang Bai (NeurIPS, 2024)

Zero-shot Image Editing with Reference Imitation. - Xi Chen 042; Yutong Feng; Mengting Chen; Yiyang Wang; Shilong Zhang; Yu Liu 063; Yujun Shen; Hengshuang Zhao (NeurIPS, 2024)

LiT: Unifying LiDAR "Languages" with LiDAR Translator. - Yixing Lao; Tao Tang; Xiaoyang Wu 002; Peng Chen; Kaicheng Yu; Hengshuang Zhao (NeurIPS, 2024)

One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection. - Zhenyu Wang 005; Yali Li 001; Hengshuang Zhao; Shengjin Wang (NeurIPS, 2024)

Depth Anything V2. - Lihe Yang; Bingyi Kang; Zilong Huang; Zhen Zhao 001; Xiaogang Xu 002; Jiashi Feng; Hengshuang Zhao (NeurIPS, 2024)

SyncVIS: Synchronized Video Instance Segmentation. - Rongkun Zheng; Lu Qi; Xi Chen 072; Yi Wang 074; Kun Wang; Yu Qiao 001; Hengshuang Zhao (NeurIPS, 2024)

Memory Consistency Guided Divide-and-Conquer Learning for Generalized Category Discovery. - Yuanpeng Tu; Zhun Zhong; Yuxi Li; Hengshuang Zhao (CoRR, 2024)

OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding. - Francis Engelmann; Ayça Takmaz; Jonas Schult; Elisabetta Fedele; Johanna Wald; Songyou Peng; Xi Wang 021; Or Litany; Siyu Tang 001; Federico Tombari; Marc Pollefeys; Leonidas J. Guibas; et al. (CoRR, 2024)

LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence. - Zhuoling Li; Xiaogang Xu 002; Zhenhua Xu; Ser-Nam Lim; Hengshuang Zhao (CoRR, 2024)

Tailor3D: Customized 3D Assets Editing and Generation with Dual-Side Images. - Zhangyang Qi; Yunhan Yang; Mengchen Zhang 001; Long Xing; Xiaoyang Wu 002; Tong Wu; Dahua Lin; Xihui Liu; Jiaqi Wang 003; Hengshuang Zhao (CoRR, 2024)

OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces. - Zehan Wang 001; Ziang Zhang; Hang Zhang; Luping Liu; Rongjie Huang 001; Xize Cheng; Hengshuang Zhao; Zhou Zhao 001 (CoRR, 2024)

ViLLa: Video Reasoning Segmentation with Large Language Model. - Rongkun Zheng; Lu Qi; Xi Chen 072; Yi Wang 074; Kun Wang; Yu Qiao 001; Hengshuang Zhao (CoRR, 2024)

Point Transformer V3 Extreme: 1st Place Solution for 2024 Waymo Open Dataset Challenge in Semantic Segmentation. - Xiaoyang Wu 002; Xiang Xu 009; Lingdong Kong; Liang Pan; Ziwei Liu 002; Tong He 001; Wanli Ouyang; Hengshuang Zhao (CoRR, 2024)

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. - Kai Chen; Yunhao Gou; Runhui Huang; Zhili Liu; Daxin Tan; Jing Xu; Chunwei Wang; Yi Zhu; Yihan Zeng; Kuo Yang; Dingdong Wang; Kun Xiang; et al. (CoRR, 2024)

VIRT: Vision Instructed Transformer for Robotic Manipulation. - Zhuoling Li; Liangliang Ren; Jinrong Yang; Yong Zhao; Xiaoyang Wu 002; Zhenhua Xu; Xiang Bai; Hengshuang Zhao (CoRR, 2024)

Efficient 3D Perception on Multi-Sweep Point Cloud with Gumbel Spatial Pruning. - Jianhao Li; Tianyu Sun; Xueqian Zhang; Zhongdao Wang; Bailan Feng; Hengshuang Zhao (CoRR, 2024)

Liquid: Language Models are Scalable Multi-modal Generators. - Junfeng Wu; Yi Jiang 004; Chuofan Ma; Yuliang Liu; Hengshuang Zhao; Zehuan Yuan; Song Bai 001; Xiang Bai (CoRR, 2024)

FashionComposer: Compositional Fashion Image Generation. - Sihui Ji; Yiyang Wang; Xi Chen 042; Xiaogang Xu 002; Hao Luo 004; Hengshuang Zhao (CoRR, 2024)

Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models. - Zehan Wang 001; Ziang Zhang; Tianyu Pang; Chao Du; Hengshuang Zhao; Zhou Zhao 001 (CoRR, 2024)

DriveGPT4: Interpretable End-to-End Autonomous Driving Via Large Language Model. - Zhenhua Xu; Yujia Zhang 003; Enze Xie; Zhen Zhao 001; Yong Guo; Kwan-Yee K. Wong; Zhenguo Li; Hengshuang Zhao (IEEE Robotics Autom. Lett., 2024)

GroupLane: End-to-End 3D Lane Detection With Channel-Wise Grouping. - Zhuoling Li; Chunrui Han; Zheng Ge; Jinrong Yang; En Yu; Haoqian Wang; Xiangyu Zhang 005; Hengshuang Zhao (IEEE Robotics Autom. Lett., 2024)

SDPT: Semantic-Aware Dimension-Pooling Transformer for Image Segmentation. - Hu Cao; Guang Chen 001; Hengshuang Zhao; Dongsheng Jiang; Xiaopeng Zhang 008; Qi Tian 001; Alois Knoll (IEEE Trans. Intell. Transp. Syst., 2024)

SpatialCLIP: Learning 3D-aware Image Representations from Spatially Discriminative Language. - Zehan Wang 001; Sashuai Zhou; Shaoxuan He; Haifeng Huang; Lihe Yang; Ziang Zhang; Xize Cheng; Shengpeng Ji; Tao Jin 004; Hengshuang Zhao; Zhou Zhao 001 (CVPR, 2025)

Sonata: Self-Supervised Learning of Reliable Point Representations. - Xiaoyang Wu 002; Daniel DeTone; Duncan P. Frost; Tianwei Shen; Chris Xie; Nan Yang; Jakob J. Engel; Richard A. Newcombe; Hengshuang Zhao; Julian Straub (CVPR, 2025)

PanDA: Towards Panoramic Depth Anything with Unlabeled Panoramas and Mobius Spatial Augmentation. - Zidong Cao; Jinjing Zhu; Weiming Zhang 001; Hao Ai; Haotian Bai; Hengshuang Zhao; Lin Wang 025 (CVPR, 2025)

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. - Kai Chen; Yunhao Gou; Runhui Huang; Zhili Liu; Daxin Tan; Jing Xu; Chunwei Wang; Yi Zhu; Yihan Zeng; Kuo Yang; Dingdong Wang; Kun Xiang; et al. (CVPR, 2025)

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics. - Xi Chen; Zhifei Zhang; He Zhang 004; Yuqian Zhou; Soo Ye Kim; Qing Liu 017; Yijun Li 001; Jianming Zhang 001; Nanxuan Zhao; Yilin Wang 002; Hui Ding; Zhe Lin 001; et al. (CVPR, 2025)

HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models. - Runhui Huang; Xinpeng Ding; Chunwei Wang; Jianhua Han; Yulong Liu; Hengshuang Zhao; Hang Xu 004; Lu Hou 002; Wei Zhang 010; Xiaodan Liang (CVPR, 2025)

DriveGPT4-V2: Harnessing Large Language Model Capabilities for Enhanced Closed-Loop Autonomous Driving. - Zhenhua Xu; Yan Bai; Yujia Zhang 003; Zhuoling Li; Fei Xia; Kwan-Yee K. Wong; Jianqiang Wang; Hengshuang Zhao (CVPR, 2025)

Empowering Large Language Models with 3D Situation Awareness. - Zhihao Yuan; Yibo Peng; Jinke Ren; Yinghong Liao; Yatong Han; Chun-Mei Feng 001; Hengshuang Zhao; Guanbin Li; Shuguang Cui; Zhen Li 026 (CVPR, 2025)

OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces. - Zehan Wang 001; Ziang Zhang; Minjie Hong; Hang Zhang; Luping Liu; Rongjie Huang 001; Xize Cheng; Shengpeng Ji; Tao Jin 004; Hengshuang Zhao; Zhou Zhao 001 (ICLR, 2025)

VideoAnydoor: High-fidelity Video Object Insertion with Precise Motion Control. - Yuanpeng Tu; Hao Luo 004; Xi Chen 042; Sihui Ji; Xiang Bai; Hengshuang Zhao (CoRR, 2025)

GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models. - Zhangyang Qi; Zhixiong Zhang; Ye Fang; Jiaqi Wang 003; Hengshuang Zhao (CoRR, 2025)

DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data. - Yuanpeng Tu; Xi Chen; Ser-Nam Lim; Hengshuang Zhao (CoRR, 2025)

DiffDoctor: Diagnosing Image Diffusion Models Before Treating. - Yiyang Wang; Xi Chen 042; Xiaogang Xu 002; Sihui Ji; Yu Liu 063; Yujun Shen; Hengshuang Zhao (CoRR, 2025)

HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation. - Xin Zhou 013; Dingkang Liang; Sifan Tu; Xiwu Chen; Yikang Ding; Dingyuan Zhang; Feiyang Tan; Hengshuang Zhao; Xiang Bai (CoRR, 2025)

Effective LLM Knowledge Learning via Model Generalization. - Mingkang Zhu; Xi Chen; Zhongdao Wang; Bei Yu 001; Hengshuang Zhao; Jiaya Jia (CoRR, 2025)

Modular Customization of Diffusion Models via Blockwise-Parameterized Low-Rank Adaptation. - Mingkang Zhu; Xi Chen; Zhongdao Wang; Bei Yu 001; Hengshuang Zhao; Jiaya Jia (CoRR, 2025)

HaploVL: A Single-Transformer Baseline for Multi-Modal Understanding. - Rui Yan 001; Lin Song 002; Yicheng Xiao; Runhui Huang; Yixiao Ge; Ying Shan; Hengshuang Zhao (CoRR, 2025)

ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement. - Runhui Huang; Chunwei Wang; Junwei Yang; Guansong Lu; Yunlong Yuan; Jianhua Han; Lu Hou 002; Wei Zhang 196; Lanqing Hong; Hengshuang Zhao; Hang Xu 004 (CoRR, 2025)

UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation. - Lihe Yang; Zhen Zhao 001; Hengshuang Zhao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Guest Editorial Introduction to the Special Issue on Segment Anything for Videos and Beyond. - Wenguan Wang; Hengshuang Zhao; Xinggang Wang; Fisher Yu 001; David Crandall (IEEE Trans. Circuits Syst. Video Technol., 2025)

Depth Anything with Any Prior. - Zehan Wang 001; Siyu Chen; Lihe Yang; Jialei Wang; Ziang Zhang; Hengshuang Zhao; Zhou Zhao 001 (CoRR, 2025)

GenSpace: Benchmarking Spatially-Aware Image Generation. - Zehan Wang 001; Jiayang Xu; Ziang Zhang; Tianyu Pan; Chao Du; Hengshuang Zhao; Zhou Zhao 001 (CoRR, 2025)

LayerFlow: A Unified Model for Layer-aware Video Generation. - Sihui Ji; Hao Luo 004; Xi Chen 042; Yuanpeng Tu; Yiyang Wang; Hengshuang Zhao (CoRR, 2025)

PlayerOne: Egocentric World Simulator. - Yuanpeng Tu; Hao Luo 004; Xi Chen 042; Xiang Bai; Fan Wang 019; Hengshuang Zhao (CoRR, 2025)

TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization. - Mingkang Zhu; Xi Chen; Zhongdao Wang; Bei Yu 001; Hengshuang Zhao; Jiaya Jia (CoRR, 2025)

FocalClick-XL: Towards Unified and High-quality Interactive Segmentation. - Xi Chen; Hengshuang Zhao (CoRR, 2025)

VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning. - Zhangyang Qi; Zhixiong Zhang; Yizhou Yu; Jiaqi Wang 003; Hengshuang Zhao (CoRR, 2025)

MiCo: Multi-image Contrast for Reinforcement Visual Reasoning. - Xi Chen 042; Mingkang Zhu; Shaoteng Liu; Xiaoyang Wu 002; Xiaogang Xu 002; Yu Liu 063; Xiang Bai; Hengshuang Zhao (CoRR, 2025)

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation. - Yunhan Yang; Shuo Chen; Yukun Huang; Xiaoyang Wu 002; Yuan-Chen Guo; Edmund Y. Lam; Hengshuang Zhao; Tong He 001; Xihui Liu (CoRR, 2025)

Less is Enough: Training-Free Video Diffusion Acceleration via Runtime-Adaptive Caching. - Xin Zhou 013; Dingkang Liang; Kaijin Chen; Tianrui Feng; Xiwu Chen; Hongkai Lin; Yikang Ding; Feiyang Tan; Hengshuang Zhao; Xiang Bai (CoRR, 2025)

LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans. - Zhening Huang; Xiaoyang Wu 002; Fangcheng Zhong; Hengshuang Zhao; Matthias Nießner; Joan Lasenby (CoRR, 2025)

DisCo: Towards Distinct and Coherent Visual Encapsulation in Video MLLMs. - Jiahe Zhao; Rongkun Zheng; Yi Wang 074; Helin Wang; Hengshuang Zhao (CoRR, 2025)

VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning. - Senqiao Yang; Junyi Li; Xin Lai; Bei Yu 001; Hengshuang Zhao; Jiaya Jia (CoRR, 2025)

UniDetector: Towards Universal Object Detection With Heterogeneous Supervision. - Zhenyu Wang 005; Yali Li 001; Xi Chen; Ser-Nam Lim; Antonio Torralba 001; Hengshuang Zhao; Shengjin Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Language-Aware Vision Transformer for Referring Segmentation. - Zhao Yang 002; Jiaqi Wang 003; Xubing Ye; Yansong Tang; Kai Chen 026; Hengshuang Zhao; Philip H. S. Torr (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

BOOD: Boundary-based Out-Of-Distribution Data Generation. - Qilin Liao; Shuo Yang; Bo Zhao; Ping Luo; Hengshuang Zhao (CoRR, 2025)

Animate-X++: Universal Character Image Animation with Dynamic Backgrounds. - Shuai Tan; Biao Gong; Zhuoxin Liu; Yan Wang; Xi Chen; Yifan Feng; Hengshuang Zhao (CoRR, 2025)

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception. - Junjie Wang; Keyu Chen; Yulin Li; Bin Chen; Hengshuang Zhao; Xiaojuan Qi 001; Zhuotao Tian (CoRR, 2025)

Train Once, Deploy Anywhere: Realize Data-Efficient Dynamic Object Manipulation. - Zhuoling Li; Xiaoyang Wu 002; Zhenhua Xu; Hengshuang Zhao (CoRR, 2025)

AnyDoor: Zero-Shot Image Customization With Region-to-Region Reference. - Xi Chen 042; Lianghua Huang; Yu Liu 063; Yujun Shen; Deli Zhao; Hengshuang Zhao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

PonderV2: Improved 3D Representation With a Universal Pre-Training Paradigm. - Haoyi Zhu; Honghui Yang; Xiaoyang Wu 002; Di Huang; Sha Zhang 002; Xianglong He; Hengshuang Zhao; Chunhua Shen; Yu Qiao 001; Tong He 001; Wanli Ouyang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Toward Unified 3D Object Detection via Algorithm and Data Unification. - Zhuoling Li; Xiaogang Xu 002; Ser-Nam Lim; Hengshuang Zhao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)