Zehuan Yuan

ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 102

Top Venues

Publications

Junke Wang, Yi Jiang, Zehuan Yuan, Bingyue Peng, Zuxuan Wu, Yu-Gang Jiang
OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation. CoRR (2024)
Junyi Chen, Longteng Guo, Jia Sun, Shuai Shao, Zehuan Yuan, Liang Lin, Dongyu Zhang
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE. AAAI (2024)
Chuofan Ma, Yi Jiang, Jiannan Wu, Zehuan Yuan, Xiaojuan Qi
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models. CoRR (2024)
Keyu Tian, Yi Jiang, Zehuan Yuan, Bingyue Peng, Liwei Wang
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction. CoRR (2024)
Chuang Lin, Yi Jiang, Lizhen Qu, Zehuan Yuan, Jianfei Cai
Generative Region-Language Pretraining for Open-Ended Object Detection. CoRR (2024)
Peize Sun, Yi Jiang, Shoufa Chen, Shilong Zhang, Bingyue Peng, Ping Luo, Zehuan Yuan
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation. CoRR (2024)
Bin Liu, Yuchen Luo, Shaofeng Zhang, Zehuan Yuan, Changdong Xu, Boan Chen, Junchi Yan
View Crafting For Instance-Level Representation from Scene Images. ICASSP (2024)
Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) (2023)
Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu
Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-commerce. CoRR (2023)
Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo
UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces. CoRR (2023)
Zijia Zhao, Longteng Guo, Tongtian Yue, Sihan Chen, Shuai Shao, Xinxin Zhu, Zehuan Yuan, Jing Liu
ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst. CoRR (2023)
Keyu Tian, Yi Jiang, Qishuai Diao, Chen Lin, Liwei Wang, Zehuan Yuan
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling. ICLR (2023)
Junyi Chen, Longteng Guo, Jia Sun, Shuai Shao, Zehuan Yuan, Liang Lin, Dongyu Zhang
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE. CoRR (2023)
Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo
EGC: Image Generation and Classification via a Diffusion Energy-Based Model. CoRR (2023)
Zhenchao Jin, Dongdong Yu, Zehuan Yuan, Lequan Yu
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Chuchu Han, Zhedong Zheng, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang
DMRNet++: Learning Discriminative Features With Decoupled Networks and Enriched Pairs for One-Step Person Search. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Zijia Zhao, Longteng Guo, Xingjian He, Shuai Shao, Zehuan Yuan, Jing Liu
MAMO: Fine-Grained Vision-Language Representations Learning with Masked Multimodal Modeling. SIGIR (2023)
Li Xu, Mark He Huang, Xindi Shang, Zehuan Yuan, Ying Sun, Jun Liu
Meta Compositional Referring Expression Segmentation. CoRR (2023)
Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo
Exploring Transformers for Open-world Instance Segmentation. CoRR (2023)
Weihao Jiang, Dongdong Yu, Zhaozhi Xie, Yaoyi Li, Zehuan Yuan, Hongtao Lu
Trimap-guided feature mining and fusion network for natural image matting. Comput. Vis. Image Underst. 230 (2023)
Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo
Segment Every Reference Object in Spatial and Temporal Spaces. ICCV (2023)
Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo
EGC: Image Generation and Classification via a Diffusion Energy-Based Model. ICCV (2023)
Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan, Jianfei Cai
Learning Object-Language Alignments for Open-Vocabulary Object Detection. ICLR (2023)
Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu
Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-Commerce. CVPR (2023)
Qiushan Guo, Yizhou Yu, Yi Jiang, Jiannan Wu, Zehuan Yuan, Ping Luo
Multi-Level Contrastive Learning for Dense Prediction Task. CoRR (2023)
Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo
Exploring Transformers for Open-world Instance Segmentation. ICCV (2023)
Chuofan Ma, Yi Jiang, Xin Wen, Zehuan Yuan, Xiaojuan Qi
CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection. NeurIPS (2023)
Bin Yan, Yi Jiang, Jiannan Wu, Dong Wang, Ping Luo, Zehuan Yuan, Huchuan Lu
Universal Instance Perception as Object Discovery and Retrieval. CoRR (2023)
Keyu Tian, Yi Jiang, Qishuai Diao, Chen Lin, Liwei Wang, Zehuan Yuan
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling. CoRR (2023)
Haosen Yang, Chuofan Ma, Bin Wen, Yi Jiang, Zehuan Yuan, Xiatian Zhu
Recognize Any Regions. CoRR (2023)
Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Satoshi Tsutsui, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou
Transformer-based Open-world Instance Segmentation with Cross-task Consistency Regularization. ACM Multimedia (2023)
Tianjiao Li, Lin Geng Foo, Ping Hu, Xindi Shang, Hossein Rahmani, Zehuan Yuan, Jun Liu
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training. CVPR (2023)
Bin Yan, Yi Jiang, Jiannan Wu, Dong Wang, Ping Luo, Zehuan Yuan, Huchuan Lu
Universal Instance Perception as Object Discovery and Retrieval. CVPR (2023)
Tianjiao Li, Lin Geng Foo, Ping Hu, Xindi Shang, Hossein Rahmani, Zehuan Yuan, Jun Liu
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training. CoRR (2023)
Li Xu, Mark He Huang, Xindi Shang, Zehuan Yuan, Ying Sun, Jun Liu
Meta Compositional Referring Expression Segmentation. CVPR (2023)
Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Zehuan Yuan, Ping Luo
Sparse R-CNN: An End-to-End Framework for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Chuofan Ma, Yi Jiang, Xin Wen, Zehuan Yuan, Xiaojuan Qi
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection. CoRR (2023)
Junfeng Wu, Yi Jiang, Qihao Liu, Zehuan Yuan, Xiang Bai, Song Bai
General Object Foundation Model for Images and Videos at Scale. CoRR (2023)
Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu
Objects in Semantic Topology. ICLR (2022)
Zhendong Yang, Zhe Li, Mingqi Shao, Dachuan Shi, Zehuan Yuan, Chun Yuan
Masked Generative Distillation. CoRR (2022)
Chuofan Ma, Qiushan Guo, Yi Jiang, Zehuan Yuan, Ping Luo, Xiaojuan Qi
Rethinking Resolution in the Context of Efficient Video Recognition. CoRR (2022)
Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou
Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization. CoRR (2022)
Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan, Jianfei Cai
Learning Object-Language Alignments for Open-Vocabulary Object Detection. CoRR (2022)
Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan
Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation. ECCV (36) (2022)
Zhenchao Jin, Dongdong Yu, Zehuan Yuan, Lequan Yu
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation. CoRR (2022)
Hao Wang, Guosheng Lin, Ana Garcia del Molino, Anran Wang, Zehuan Yuan, Chunyan Miao, Jiashi Feng
ManiCLIP: Multi-Attribute Face Manipulation from Text. CoRR (2022)
Chuofan Ma, Qiushan Guo, Yi Jiang, Ping Luo, Zehuan Yuan, Xiaojuan Qi
Rethinking Resolution in the Context of Efficient Video Recognition. NeurIPS (2022)
Bo Yuan, Danpei Zhao, Shuai Shao, Zehuan Yuan, Changhu Wang
Birds of a Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation. IEEE Trans. Image Process. 31 (2022)
Jiannan Wu, Yi Jiang, Peize Sun, Zehuan Yuan, Ping Luo
Language as Queries for Referring Video Object Segmentation. CVPR (2022)
Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang
ByteTrack: Multi-object Tracking by Associating Every Detection Box. ECCV (22) (2022)
Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding. CoRR (2022)
Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding. NeurIPS (2022)
Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, Huchuan Lu
Towards Grand Unification of Object Tracking. ECCV (21) (2022)
Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, Huchuan Lu
Towards Grand Unification of Object Tracking. CoRR (2022)
Qishuai Diao, Yi Jiang, Bin Wen, Jia Sun, Zehuan Yuan
MetaFormer: A Unified Meta Framework for Fine-Grained Recognition. CoRR (2022)
Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang
Content-Variant Reference Image Quality Assessment via Knowledge Distillation. CoRR (2022)
Yabo Xiao, Kai Su, Xiaojuan Wang, Dongdong Yu, Lei Jin, Mingshu He, Zehuan Yuan
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query. NeurIPS (2022)
Yabo Xiao, Kai Su, Xiaojuan Wang, Dongdong Yu, Lei Jin, Mingshu He, Zehuan Yuan
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query. CoRR (2022)
Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu
You Should Look at All Objects. CoRR (2022)
Haosen Yang, Deng Huang, Bin Wen, Jiannan Wu, Hongxun Yao, Yi Jiang, Xiatian Zhu, Zehuan Yuan
Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders. CoRR (2022)
Zhendong Yang, Zhe Li, Xiaohu Jiang, Yuan Gong, Zehuan Yuan, Danpei Zhao, Chun Yuan
Focal and Global Knowledge Distillation for Detectors. CVPR (2022)
Zhendong Yang, Zhe Li, Mingqi Shao, Dachuan Shi, Zehuan Yuan, Chun Yuan
Masked Generative Distillation. ECCV (11) (2022)
Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang
Content-Variant Reference Image Quality Assessment via Knowledge Distillation. AAAI (2022)
Jiannan Wu, Yi Jiang, Peize Sun, Zehuan Yuan, Ping Luo
Language as Queries for Referring Video Object Segmentation. CoRR (2022)
Bo Yuan, Danpei Zhao, Shuai Shao, Zehuan Yuan, Changhu Wang
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation. CoRR (2022)
Guanghao Yin, Wei Wang, Zehuan Yuan, Wei Ji, Dongdong Yu, Shouqian Sun, Tat-Seng Chua, Changhu Wang
Conditional Hyper-Network for Blind Super-Resolution With Multiple Degradations. IEEE Trans. Image Process. 31 (2022)
Peize Sun, Jinkun Cao, Yi Jiang, Zehuan Yuan, Song Bai, Kris Kitani, Ping Luo
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion. CVPR (2022)
Zijia Zhao, Longteng Guo, Xingjian He, Shuai Shao, Zehuan Yuan, Jing Liu
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning. CoRR (2022)
Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu
You Should Look at All Objects. ECCV (9) (2022)
Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu
Disentangled Contrastive Learning on Graphs. NeurIPS (2021)
Guanghao Yin, Wei Wang, Zehuan Yuan, Dongdong Yu, Shouqian Sun, Changhu Wang
Conditional Meta-Network for Blind Super-Resolution with Multiple Degradations. CoRR (2021)
Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo
Sparse R-CNN: End-to-End Object Detection With Learnable Proposals. CVPR (2021)
Wei Wang, Haochen Zhang, Zehuan Yuan, Changhu Wang
Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective. ICCV (2021)
Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang, Changhu Wang
Weakly Supervised Person Search with Region Siamese Networks. ICCV (2021)
Xindi Shang, Zehuan Yuan, Anran Wang, Changhu Wang
Multimodal Video Summarization via Time-Aware Transformers. ACM Multimedia (2021)
Peize Sun, Yi Jiang, Enze Xie, Wenqi Shao, Zehuan Yuan, Changhu Wang, Ping Luo
What Makes for End-to-End Object Detection? ICML (2021)
Peize Sun, Jinkun Cao, Yi Jiang, Zehuan Yuan, Song Bai, Kris Kitani, Ping Luo
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion. CoRR (2021)
Lu Yang, Yunlong Wang, Lingqiao Liu, Peng Wang, Lu Chi, Zehuan Yuan, Changhu Wang, Yanning Zhang
Center Prediction Loss for Re-identification. CoRR (2021)
Weihao Jiang, Dongdong Yu, Zhaozhi Xie, Yaoyi Li, Zehuan Yuan, Hongtao Lu
Trimap-guided Feature Mining and Fusion Network for Natural Image Matting. CoRR (2021)
Bingyi Kang, Yu Li, Sa Xie, Zehuan Yuan, Jiashi Feng
Exploring Balanced Feature Spaces for Representation Learning. ICLR (2021)
Zhendong Yang, Zhe Li, Xiaohu Jiang, Yuan Gong, Zehuan Yuan, Danpei Zhao, Chun Yuan
Focal and Global Knowledge Distillation for Detectors. CoRR (2021)
Chuang Lin, Zehuan Yuan, Sicheng Zhao, Peize Sun, Changhu Wang, Jianfei Cai
Domain-Invariant Disentangled Network for Generalizable Object Detection. ICCV (2021)
Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang
ByteTrack: Multi-Object Tracking by Associating Every Detection Box. CoRR (2021)
Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu
Objects in Semantic Topology. CoRR (2021)
Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan
Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation. CoRR (2021)
Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang
Slimmable Generative Adversarial Networks. AAAI (2021)
Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang, Changhu Wang
Weakly Supervised Person Search with Region Siamese Networks. CoRR (2021)
Zhenchao Jin, Dongdong Yu, Kai Su, Zehuan Yuan, Changhu Wang
Memory Based Video Scene Parsing. CoRR (2021)
Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao
Controllable Orthogonalization in Training DNNs. CoRR (2020)
Peize Sun, Yi Jiang, Enze Xie, Zehuan Yuan, Changhu Wang, Ping Luo
OneNet: Towards End-to-End One-Stage Object Detection. CoRR (2020)
Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang
Slimmable Generative Adversarial Networks. CoRR (2020)
Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao
Controllable Orthogonalization in Training DNNs. CVPR (2020)
Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals. CoRR (2020)
Peize Sun, Yi Jiang, Rufeng Zhang, Enze Xie, Jinkun Cao, Xinting Hu, Tao Kong, Zehuan Yuan, Changhu Wang, Ping Luo
TransTrack: Multiple-Object Tracking with Transformer. CoRR (2020)
Lu Chi, Zehuan Yuan, Yadong Mu, Changhu Wang
Non-Local Neural Networks With Grouped Bilinear Attentional Transforms. CVPR (2020)
Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang
Moflowgan: Video Generation With Flow Guidance. ICME (2020)
Dongdong Yu, Zehuan Yuan, Jinlai Liu, Kun Yuan, Changhu Wang
Towards Good Practices for Instance Segmentation. CoRR (2019)
Wei Li, Zehuan Yuan, Dashan Guo, Lei Huang, Xiangzhong Fang, Changhu Wang
Deformable Tube Network for Action Detection in Videos. CoRR (2019)
Jinlai Liu, Zehuan Yuan, Changhu Wang
Towards Good Practices for Multi-modal Fusion in Large-scale Video Classification. CoRR (2018)
Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang
Knowing Where to Look? Analysis on Attention of Visual Question Answering System. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zehuan Yuan