Songyang Zhang

According to our database, Songyang Zhang authored at least 73 papers between 2017 and 2025.

Collaborative distances:

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

2025

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

Weiyun Wang, Zhangwei Gao, Lixin Gu, Hengjun Pu, Long Cui, Xingguang Wei, Zhaoyang Liu, Linglin Jing, Shenglong Ye, Jie Shao, Zhaokai Wang, Zhe Chen, Hongjie Zhang, Ganlin Yang, Haomin Wang, Qi Wei, Jinhui Yin, Wenhao Li, Erfei Cui, Guanzhou Chen, Zichen Ding, Changyao Tian, Zhenyu Wu, JingJing Xie, Zehao Li, Bowen Yang, Yuchen Duan, Xuehui Wang, Zhi Hou, Haoran Hao, Tianyi Zhang, Songze Li, Xiangyu Zhao, Haodong Duan, Nianchen Deng, Bin Fu, Yinan He, Yi Wang, Conghui He, Botian Shi, Junjun He, Yingtong Xiong, Han Lv, Lijun Wu, Wenqi Shao, Kaipeng Zhang, Huipeng Deng, Biqing Qi, Jiaye Ge, Qipeng Guo, Wenwei Zhang, Songyang Zhang, Maosong Cao, Junyao Lin, Kexian Tang, Jianfei Gao, Haian Huang, Yuzhe Gu, Chengqi Lyu, Huanze Tang, Rui Wang, Haijun Lv, Wanli Ouyang, Limin Wang, Min Dou, Xizhou Zhu, Tong Lu, Dahua Lin, Jifeng Dai, Weijie Su, Bowen Zhou, Kai Chen, Yu Qiao, Wenhai Wang, Gen Luo

CoRR, August, 2025

Dissecting Tool-Integrated Reasoning: An Empirical Study and Analysis.

Yufeng Zhao, Junnan Liu, Hongwei Liu, Dongsheng Zhu, Yuan Shen, Songyang Zhang, Kai Chen

CoRR, August, 2025

CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward.

Shudong Liu, Hongwei Liu, Junnan Liu, Linchen Xiao, Songyang Gao, Chengqi Lyu, Yuzhe Gu, Wenwei Zhang, Derek F. Wong, Songyang Zhang, Kai Chen

CoRR, August, 2025

Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination.

Mingqi Wu, Zhihao Zhang, Qiaole Dong, Zhiheng Xi, Jun Zhao, Senjie Jin, Xiaoran Fan, Yuhao Zhou, Yanwei Fu, Qin Liu, Songyang Zhang, Qi Zhang

CoRR, July, 2025

CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards.

Taolin Zhang, Maosong Cao, Alexander Lam, Songyang Zhang, Kai Chen

CoRR, July, 2025

Rethinking Verification for LLM Code Generation: From Generation to Testing.

Zihan Ma, Taolin Zhang, Maosong Cao, Junnan Liu, Wenwei Zhang, Minnan Luo, Songyang Zhang, Kai Chen

CoRR, July, 2025

Coding Triangle: How Does Large Language Model Understand Code?

Taolin Zhang, Zihan Ma, Maosong Cao, Junnan Liu, Songyang Zhang, Kai Chen

CoRR, July, 2025

Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective.

Junnan Liu, Hongwei Liu, Linchen Xiao, Shudong Liu, Taolin Zhang, Zihan Ma, Songyang Zhang, Kai Chen

CoRR, May, 2025

Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question Answering.

Bowen Jiang, Runchuan Zhu, Jiang Wu, Zinco Jiang, Yifan He, Junyuan Gao, Jia Yu, Rui Min, Yinfan Wang, Haote Yang, Songyang Zhang, Dahua Lin, Lijun Wu, Conghui He

CoRR, May, 2025

PM4Bench: A Parallel Multilingual Multi-Modal Multi-task Benchmark for Large Vision Language Model.

Junyuan Gao, Jiahe Song, Jiang Wu, Runchuan Zhu, Guanlin Shen, Shasha Wang, Xingjian Wei, Haote Yang, Songyang Zhang, Weijia Li, Bin Wang, Dahua Lin, Lijun Wu, Conghui He

CoRR, March, 2025

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning.

Chengqi Lyu, Songyang Gao, Yuzhe Gu, Wenwei Zhang, Jianfei Gao, Kuikun Liu, Ziyi Wang, Shuaibin Li, Qian Zhao, Haian Huang, Weihan Cao, Jiangning Liu, Hongwei Liu, Junnan Liu, Songyang Zhang, Dahua Lin, Kai Chen

CoRR, February, 2025

LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation.

Jiahao Wang, Ning Kang, Lewei Yao, Mengzhao Chen, Chengyue Wu, Songyang Zhang, Shuchen Xue, Yong Liu, Taiqiang Wu, Xihui Liu, Kaipeng Zhang, Shifeng Zhang, Wenqi Shao, Zhenguo Li, Ping Luo

CoRR, January, 2025

Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement.

Maosong Cao, Taolin Zhang, Mo Li, Chuyu Zhang, Yunxin Liu, Haodong Duan, Songyang Zhang, Kai Chen

CoRR, January, 2025

NeedleBench: Evaluating LLM Retrieval and Reasoning Across Varying Information Densities.

Mo Li, Songyang Zhang, Taolin Zhang, Haodong Duan, Yunxin Liu, Kai Chen

Trans. Mach. Learn. Res., 2025

InternLM-Law: An Open-Sourced Chinese Legal Large Language Model.

Zhiwei Fei, Songyang Zhang, Xiaoyu Shen, Dawei Zhu, Xiao Wang, Jidong Ge, Vincent Ng

Proceedings of the 31st International Conference on Computational Linguistics, 2025

OpenHuEval: Evaluating Large Language Model on Hungarian Specifics.

Haote Yang, Xingjian Wei, Jiang Wu, Noémi Ligeti-Nagy, Jiaxing Sun, Yinfan Wang, Zijian Gyozo Yang, Junyuan Gao, Jingchao Wang, Bowen Jiang, Shasha Wang, Nanjun Yu, Zihao Zhang, Shixin Hong, Hongwei Liu, Wei Li, Songyang Zhang, Dahua Lin, Lijun Wu, Gábor Prószéky, Conghui He

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement.

Maosongcao Maosongcao, Taolin Zhang, Mo Li, Chuyu Zhang, Yunxin Liu, Conghui He, Haodong Duan, Songyang Zhang, Kai Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law.

Qiming Ge, Shuhao Xing, Songyang Gao, Yunhua Zhou, Yicheng Zou, Songyang Zhang, Zhi Chen, Hang Yan, Qi Zhang, Qipeng Guo, Kai Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios.

Baichuan Zhou, Haote Yang, Dairong Chen, Junyan Ye, Tianyi Bai, Jinhua Yu, Songyang Zhang, Dahua Lin, Conghui He, Weijia Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

SGTR+: End-to-End Scene Graph Generation With Transformer.

Rongjie Li, Songyang Zhang, Xuming He

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling.

Yuan Liu, Songyang Zhang, Jiacheng Chen, Kai Chen, Dahua Lin

Trans. Mach. Learn. Res., 2024

Are Your LLMs Capable of Stable Reasoning?

Junnan Liu, Hongwei Liu, Linchen Xiao, Ziyi Wang, Kuikun Liu, Songyang Gao, Wenwei Zhang, Songyang Zhang, Kai Chen

CoRR, 2024

CompassJudger-1: All-in-one Judge Model Helps Model Evaluation and Evolution.

Maosong Cao, Alexander Lam, Haodong Duan, Hongwei Liu, Songyang Zhang, Kai Chen

CoRR, 2024

HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models.

Haoran Que, Feiyu Duan, Liqun He, Yutao Mou, Wangchunshu Zhou, Jiaheng Liu, Wenge Rong, Zekun Moore Wang, Jian Yang, Ge Zhang, Junran Peng, Zhaoxiang Zhang, Songyang Zhang, Kai Chen

CoRR, 2024

NeedleBench: Can LLMs Do Retrieval and Reasoning in 1 Million Context Window?

Mo Li, Songyang Zhang, Yunxin Liu, Kai Chen

CoRR, 2024

CIBench: Evaluating Your LLMs with a Code Interpreter Plugin.

Songyang Zhang, Chuyu Zhang, Yingfan Hu, Haowen Shen, Kuikun Liu, Zerun Ma, Fengzhe Zhou, Wenwei Zhang, Xuming He, Dahua Lin, Kai Chen

CoRR, 2024

InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.

Pan Zhang, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Rui Qian, Lin Chen, Qipeng Guo, Haodong Duan, Bin Wang, Linke Ouyang, Songyang Zhang, Wenwei Zhang, Yining Li, Yang Gao, Peng Sun, Xinyue Zhang, Wei Li, Jingwen Li, Wenhai Wang, Hang Yan, Conghui He, Xingcheng Zhang, Kai Chen, Jifeng Dai, Yu Qiao, Dahua Lin, Jiaqi Wang

CoRR, 2024

InternLM-Law: An Open Source Chinese Legal Large Language Model.

Zhiwei Fei, Songyang Zhang, Xiaoyu Shen, Dawei Zhu, Xiao Wang, Maosong Cao, Fengzhe Zhou, Yining Li, Wenwei Zhang, Dahua Lin, Kai Chen, Jidong Ge

CoRR, 2024

FoundaBench: Evaluating Chinese Fundamental Knowledge Capabilities of Large Language Models.

Wei Li, Ren Ma, Jiang Wu, Chenya Gu, Jiahui Peng, Jinyang Len, Songyang Zhang, Hang Yan, Dahua Lin, Conghui He

CoRR, 2024

Adapting LLaMA Decoder to Vision Transformer.

Jiahao Wang, Wenqi Shao, Mengzhao Chen, Chengyue Wu, Yong Liu, Kaipeng Zhang, Songyang Zhang, Kai Chen, Ping Luo

CoRR, 2024

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning.

Huaiyuan Ying, Shuo Zhang, Linyang Li, Zhejian Zhou, Yunfan Shao, Zhaoye Fei, Yichuan Ma, Jiawei Hong, Kuikun Liu, Ziyi Wang, Yudong Wang, Zijian Wu, Shuaibin Li, Fengzhe Zhou, Hongwei Liu, Songyang Zhang, Wenwei Zhang, Hang Yan, Xipeng Qiu, Jiayu Wang, Kai Chen, Dahua Lin

CoRR, 2024

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model.

Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang, Linke Ouyang, Xilin Wei, Songyang Zhang, Haodong Duan, Maosong Cao, Wenwei Zhang, Yining Li, Hang Yan, Yang Gao, Xinyue Zhang, Wei Li, Jingwen Li, Kai Chen, Conghui He, Xingcheng Zhang, Yu Qiao, Dahua Lin, Jiaqi Wang

CoRR, 2024

HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance.

Huanjun Kong, Songyang Zhang, Kai Chen

CoRR, 2024

GTA: A Benchmark for General Tool Agents.

Jize Wang, Zerun Ma, Yining Li, Songyang Zhang, Cailian Chen, Kai Chen, Xinyi Le

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs.

Yuxuan Qiao, Haodong Duan, Xinyu Fang, Junming Yang, Lin Chen, Songyang Zhang, Jiaqi Wang, Dahua Lin, Kai Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD.

Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang, Linke Ouyang, Songyang Zhang, Haodong Duan, Wenwei Zhang, Yining Li, Hang Yan, Yang Gao, Zhe Chen, Xinyue Zhang, Wei Li, Jingwen Li, Wenhai Wang, Kai Chen, Conghui He, Xingcheng Zhang, Jifeng Dai, Yu Qiao, Dahua Lin, Jiaqi Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Fake Alignment: Are LLMs Really Aligned Well?

Yixu Wang, Yan Teng, Kexin Huang, Chengqi Lyu, Songyang Zhang, Wenwei Zhang, Xingjun Ma, Yu-Gang Jiang, Yu Qiao, Yingchun Wang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks.

Chonghua Wang, Haodong Duan, Songyang Zhang, Dahua Lin, Kai Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

BotChat: Evaluating LLMs' Capabilities of Having Multi-Turn Dialogues.

Haodong Duan, Jueqi Wei, Chonghua Wang, Hongwei Liu, Yixiao Fang, Songyang Zhang, Dahua Lin, Kai Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs.

Jingming Zhuo, Songyang Zhang, Xinyu Fang, Haodong Duan, Dahua Lin, Kai Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LawBench: Benchmarking Legal Knowledge of Large Language Models.

Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Alan Huang, Songyang Zhang, Kai Chen, Zhixin Yin, Zongwen Shen, Jidong Ge, Vincent Ng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MMBench: Is Your Multi-modal Model an All-Around Player?

Yuan Liu, Haodong Duan, Yuanhan Zhang, Bo Li, Songyang Zhang, Wangbo Zhao, Yike Yuan, Jiaqi Wang, Conghui He, Ziwei Liu, Kai Chen, Dahua Lin

Proceedings of the Computer Vision - ECCV 2024, 2024

From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models.

Rongjie Li, Songyang Zhang, Dahua Lin, Kai Chen, Xuming He

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

Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization Correlations.

Jiaxing Sun, Weiquan Huang, Jiang Wu, Chenya Gu, Wei Li, Songyang Zhang, Hang Yan, Conghui He

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark.

Hongwei Liu, Zilong Zheng, Yuxuan Qiao, Haodong Duan, Zhiwei Fei, Fengzhe Zhou, Wenwei Zhang, Songyang Zhang, Dahua Lin, Kai Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models.

Xi Chen, Songyang Zhang, Qibing Bai, Kai Chen, Satoshi Nakamura

Proceedings of the Findings of the Association for Computational Linguistics, 2024

T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step.

Zehui Chen, Weihua Du, Wenwei Zhang, Kuikun Liu, Jiangning Liu, Miao Zheng, Jingming Zhuo, Songyang Zhang, Dahua Lin, Kai Chen, Feng Zhao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

T-Eval: Evaluating the Tool Utilization Capability Step by Step.

Zehui Chen, Weihua Du, Wenwei Zhang, Kuikun Liu, Jiangning Liu, Miao Zheng, Jingming Zhuo, Songyang Zhang, Dahua Lin, Kai Chen, Feng Zhao

CoRR, 2023

LawBench: Benchmarking Legal Knowledge of Large Language Models.

Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Songyang Zhang, Kai Chen, Zongwen Shen, Jidong Ge

CoRR, 2023

InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.

Pan Zhang, Xiaoyi Dong, Bin Wang, Yuhang Cao, Chao Xu, Linke Ouyang, Zhiyuan Zhao, Shuangrui Ding, Songyang Zhang, Haodong Duan, Wenwei Zhang, Hang Yan, Xinyue Zhang, Wei Li, Jingwen Li, Kai Chen, Conghui He, Xingcheng Zhang, Yu Qiao, Dahua Lin, Jiaqi Wang

CoRR, 2023

Learning Referring Video Object Segmentation from Weak Annotation.

Wangbo Zhao, Kepan Nan, Songyang Zhang, Kai Chen, Dahua Lin, Yang You

CoRR, 2023

RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer.

Jiahao Wang, Songyang Zhang, Yong Liu, Taiqiang Wu, Yujiu Yang, Xihui Liu, Kai Chen, Ping Luo, Dahua Lin

CoRR, 2023

Temporal Segment Transformer for Action Segmentation.

Zhichao Liu, Leshan Wang, Desen Zhou, Jian Wang, Songyang Zhang, Yang Bai, Errui Ding, Rui Fan

CoRR, 2023

TG-VQA: Ternary Game of Video Question Answering.

Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, Zhennan Wang, Chang Liu, Jie Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Improving Pixel-based MIM by Reducing Wasted Modeling Capability.

Yuan Liu, Songyang Zhang, Jiacheng Chen, Zhaohui Yu, Kai Chen, Dahua Lin

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

RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer.

Jiahao Wang, Songyang Zhang, Yong Liu, Taiqiang Wu, Yujiu Yang, Xihui Liu, Kai Chen, Ping Luo, Dahua Lin

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

2022

Budget-aware Few-shot Learning via Graph Convolutional Network.

Shipeng Yan, Songyang Zhang, Xuming He

CoRR, 2022

Robust Temporally-Coherent Strategy for Few-shot Video Instance Segmentation.

Qiuyue Wang, Songyang Zhang, Xuming He

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

Learning Semantic Correspondence with Sparse Annotations.

Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava

Proceedings of the Computer Vision - ECCV 2022, 2022

Action Quality Assessment with Temporal Parsing Transformer.

Yang Bai, Desen Zhou, Songyang Zhang, Jian Wang, Errui Ding, Yu Guan, Yang Long, Jingdong Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Workshop on Autonomous Driving at CVPR 2021: Technical Report for Streaming Perception Challenge.

Songyang Zhang, Lin Song, Songtao Liu, Zheng Ge, Zeming Li, Xuming He, Jian Sun

CoRR, 2021

Dynamic Grained Encoder for Vision Transformers.

Lin Song, Songyang Zhang, Songtao Liu, Zeming Li, Xuming He, Hongbin Sun, Jian Sun, Nanning Zheng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An EM Framework for Online Incremental Learning of Semantic Segmentation.

Shipeng Yan, Jiale Zhou, Jiangwei Xie, Songyang Zhang, Xuming He

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Learning Implicit Temporal Alignment for Few-shot Video Classification.

Songyang Zhang, Jiale Zhou, Xuming He

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition.

Songyang Zhang, Zeming Li, Shipeng Yan, Xuming He, Jian Sun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Bipartite Graph Network With Adaptive Message Passing for Unbiased Scene Graph Generation.

Rongjie Li, Songyang Zhang, Bo Wan, Xuming He

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Transformer with Bidirectional Decoder for Speech Recognition.

Xi Chen, Songyang Zhang, Dandan Song, Peng Ouyang, Shouyi Yin

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Part-Aware Prototype Network for Few-Shot Semantic Segmentation.

Yongfei Liu, Xiangyi Zhang, Songyang Zhang, Xuming He

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

LatentGNN: Learning Efficient Non-local Relations for Visual Recognition.

Songyang Zhang, Xuming He, Shipeng Yan

Proceedings of the 36th International Conference on Machine Learning, 2019

Dynamic Context Correspondence Network for Semantic Alignment.

Shuaiyi Huang, Qiuyue Wang, Songyang Zhang, Shipeng Yan, Xuming He

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Dual Attention Network with Semantic Embedding for Few-Shot Learning.

Shipeng Yan, Songyang Zhang, Xuming He

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning.

Yuhang Song, Mai Xu, Songyang Zhang, Liangyu Huo

CoRR, 2017

Predicting Salient Face in Multiple-Face Videos.

Yufan Liu, Songyang Zhang, Mai Xu, Xuming He

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017