Deng, Weijian

23 publications

ICCV 2025 Can We Achieve Efficient Diffusion Without Self-Attention? Distilling Self-Attention into Convolutions Ziyi Dong, Chengxing Zhou, Weijian Deng, Pengxu Wei, Xiangyang Ji, Liang Lin

NeurIPS 2025 Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy Qing Zhao, Weijian Deng, Pengxu Wei, ZiYi Dong, Hannan Lu, Xiangyang Ji, Liang Lin

ICCV 2025 Manual-PA: Learning 3D Part Assembly from Instruction Diagrams Jiahao Zhang, Anoop Cherian, Cristian Rodriguez, Weijian Deng, Stephen Gould

CVPR 2025 Pos3R: 6d Pose Estimation for Unseen Objects Made Easy Weijian Deng, Dylan Campbell, Chunyi Sun, Jiahao Zhang, Shubham Kanitkar, Matt E. Shaffer, Stephen Gould

ICML 2025 Ranked from Within: Ranking Large Multimodal Models Without Labels Weijie Tu, Weijian Deng, Dylan Campbell, Yu Yao, Jiyang Zheng, Tom Gedeon, Tongliang Liu

ICML 2024 An Empirical Study into What Matters for Calibrating Vision-Language Models Weijie Tu, Weijian Deng, Dylan Campbell, Stephen Gould, Tom Gedeon

CVPR 2024 Differentiable Neural Surface Refinement for Modeling Transparent Objects Weijian Deng, Dylan Campbell, Chunyi Sun, Shubham Kanitkar, Matthew E. Shaffer, Stephen Gould

NeurIPS 2024 MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An

WACV 2024 Ray Deformation Networks for Novel View Synthesis of Refractive Objects Weijian Deng, Dylan Campbell, Chunyi Sun, Shubham Kanitkar, Matthew Shaffer, Stephen Gould

TMLR 2024 What Does SoftMax Probability Tell Us About Classifiers Ranking Across Diverse Test Conditions? Weijie Tu, Weijian Deng, Liang Zheng, Tom Gedeon

CVPR 2023 A Bag-of-Prototypes Representation for Dataset-Level Applications Weijie Tu, Weijian Deng, Tom Gedeon, Liang Zheng

NeurIPS 2023 A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) Weijie Tu, Weijian Deng, Tom Gedeon

ICCV 2023 Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios Yuli Zou, Weijian Deng, Liang Zheng

ICML 2023 Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng

CVPRW 2023 NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang

CVPRW 2023 Reparameterized Residual Feature Network for Lightweight Image Super-Resolution Weijian Deng, Hongjie Yuan, Lunhui Deng, Zengtong Lu

WACV 2023 Split to Learn: Gradient Split for Multi-Task Human Image Analysis Weijian Deng, Yumin Suh, Xiang Yu, Masoud Faraki, Liang Zheng, Manmohan Chandraker

NeurIPS 2022 On the Strong Correlation Between Model Invariance and Generalization Weijian Deng, Stephen Gould, Liang Zheng

CVPR 2021 Are Labels Always Necessary for Classifier Accuracy Evaluation? Weijian Deng, Liang Zheng

ICCV 2021 Ranking Models in Unlabeled New Environments Xiaoxiao Sun, Yunzhong Hou, Weijian Deng, Hongdong Li, Liang Zheng

ICML 2021 What Does Rotation Prediction Tell Us About Classifier Accuracy Under Varying Testing Environments? Weijian Deng, Stephen Gould, Liang Zheng

CVPRW 2019 Vehicle Re-Identification with Location and Time Stamps Kai Lv, Heming Du, Yunzhong Hou, Weijian Deng, Hao Sheng, Jianbin Jiao, Liang Zheng

ICCV 2017 SVDNet for Pedestrian Retrieval Yifan Sun, Liang Zheng, Weijian Deng, Shengjin Wang