Weijian Deng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
6
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Pos3R: 6D Pose Estimation for Unseen Objects Made Easy. | Weijian Deng, Dylan Campbell, Chunyi Sun, Jiahao Zhang, Shubham Kanitkar, Matthew E. Shaffer, Stephen Gould |
| 2025 | ICCV | 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 |
| 2025 | ICCV | Manual-PA: Learning 3D Part Assembly from Instruction Diagrams. | Jiahao Zhang, Anoop Cherian, Cristian Rodriguez, Weijian Deng, Stephen Gould |
| 2025 | ICML | Ranked from Within: Ranking Large Multimodal Models Without Labels. | Weijie Tu, Weijian Deng, Dylan Campbell, Yu Yao, Jiyang Zheng, Tom Gedeon, Tongliang Liu |
| 2025 | SIGGRAPH | Unsupervised Decomposition of 3D Shapes into Expressive and Editable Extruded Profile Primitives. | Chunyi Sun, Junlin Han, Runjia Li, Weijian Deng, Dylan Campbell, Stephen Gould |
| 2024 | CVPR | Differentiable Neural Surface Refinement for Modeling Transparent Objects. | Weijian Deng, Dylan Campbell, Chunyi Sun, Shubham Kanitkar, Matthew E. Shaffer, Stephen Gould |
| 2024 | ICASSP | UNAD: Universal Anatomy-Initialized Noise Distribution Learning Framework Towards Low-Dose CT Denoising. | Lingrui Gu, Weijian Deng, Guoli Wang |
| 2024 | ICML | An Empirical Study Into What Matters for Calibrating Vision-Language Models. | Weijie Tu, Weijian Deng, Dylan Campbell, Stephen Gould, Tom Gedeon |
| 2024 | WACV | Ray Deformation Networks for Novel View Synthesis of Refractive Objects. | Weijian Deng, Dylan Campbell, Chunyi Sun, Shubham Kanitkar, Matthew E. Shaffer, Stephen Gould |
| 2023 | CVPR | Reparameterized Residual Feature Network For Lightweight Image Super-Resolution. | Weijian Deng, Hongjie Yuan, Lunhui Deng, Zengtong Lu |
| 2023 | CVPR | 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 |
| 2023 | CVPR | A Bag-of-Prototypes Representation for Dataset-Level Applications. | Weijie Tu, Weijian Deng, Tom Gedeon, Liang Zheng |
| 2023 | ICCV | Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios. | Yuli Zou, Weijian Deng, Liang Zheng |
| 2023 | ICML | Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation. | Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng |
| 2023 | WACV | Split to Learn: Gradient Split for Multi-Task Human Image Analysis. | Weijian Deng, Yumin Suh, Xiang Yu, Masoud Faraki, Liang Zheng, Manmohan Chandraker |
| 2021 | CVPR | Are Labels Always Necessary for Classifier Accuracy Evaluation? | Weijian Deng, Liang Zheng |
| 2021 | ICCV | Ranking Models in Unlabeled New Environments. | Xiaoxiao Sun, Yunzhong Hou, Weijian Deng, Hongdong Li, Liang Zheng |
| 2021 | ICML | What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? | Weijian Deng, Stephen Gould, Liang Zheng |
| 2019 | CVPR | Vehicle Re-Identification with Location and Time Stamps. | Kai Lv, Heming Du, Yunzhong Hou, Weijian Deng, Hao Sheng, Jianbin Jiao, Liang Zheng |
| 2018 | CVPR | Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification. | Weijian Deng, Liang Zheng, Qixiang Ye, Guoliang Kang, Yi Yang, Jianbin Jiao |
| 2017 | ICCV | SVDNet for Pedestrian Retrieval. | Yifan Sun, Liang Zheng, Weijian Deng, Shengjin Wang |