Weijian Deng

According to our database, Weijian Deng authored at least 31 papers between 2017 and 2024.

Collaborative distances:

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

2024

AutoEval: Are Labels Always Necessary for Classifier Accuracy Evaluation?

Weijian Deng, Liang Zheng

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

What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?

Weijie Tu, Weijian Deng, Liang Zheng, Tom Gedeon

Trans. Mach. Learn. Res., 2024

Toward a Holistic Evaluation of Robustness in CLIP Models.

Weijie Tu, Weijian Deng, Tom Gedeon

CoRR, 2024

MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts.

Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An

CoRR, 2024

Ray Deformation Networks for Novel View Synthesis of Refractive Objects.

Weijian Deng, Dylan Campbell, Chunyi Sun, Shubham Kanitkar, Matthew E. Shaffer, Stephen Gould

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

An Empirical Study Into What Matters for Calibrating Vision-Language Models.

Weijie Tu, Weijian Deng, Dylan Campbell, Stephen Gould, Tom Gedeon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

UNAD: Universal Anatomy-Initialized Noise Distribution Learning Framework Towards Low-Dose CT Denoising.

Lingrui Gu, Weijian Deng, Guoli Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

Differentiable Neural Surface Refinement for Modeling Transparent Objects.

Weijian Deng, Dylan Campbell, Chunyi Sun, Shubham Kanitkar, Matthew E. Shaffer, Stephen Gould

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

2023

3D-GPT: Procedural 3D Modeling with Large Language Models.

Chunyi Sun, Junlin Han, Weijian Deng, Xinlong Wang, Zishan Qin, Stephen Gould

CoRR, 2023

Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift.

Yuli Zou, Weijian Deng, Liang Zheng

CoRR, 2023

Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation.

Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng

CoRR, 2023

Split to Learn: Gradient Split for Multi-Task Human Image Analysis.

Weijian Deng, Yumin Suh, Xiang Yu, Masoud Faraki, Liang Zheng, Manmohan Chandraker

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

A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP).

Weijie Tu, Weijian Deng, Tom Gedeon

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation.

Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng

Proceedings of the International Conference on Machine Learning, 2023

Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios.

Yuli Zou, Weijian Deng, Liang Zheng

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

A Bag-of-Prototypes Representation for Dataset-Level Applications.

Weijie Tu, Weijian Deng, Tom Gedeon, Liang Zheng

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

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

Reparameterized Residual Feature Network For Lightweight Image Super-Resolution.

Weijian Deng, Hongjie Yuan, Lunhui Deng, Zengtong Lu

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

2022

Fine-Grained Classification via Categorical Memory Networks.

Weijian Deng, Joshua Marsh, Stephen Gould, Liang Zheng

IEEE Trans. Image Process., 2022

On the Strong Correlation Between Model Invariance and Generalization.

Weijian Deng, Stephen Gould, Liang Zheng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Rethinking Triplet Loss for Domain Adaptation.

Weijian Deng, Liang Zheng, Yifan Sun, Jianbin Jiao

IEEE Trans. Circuits Syst. Video Technol., 2021

What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?

Weijian Deng, Stephen Gould, Liang Zheng

Proceedings of the 38th International Conference on Machine Learning, 2021

Ranking Models in Unlabeled New Environments.

Xiaoxiao Sun, Yunzhong Hou, Weijian Deng, Hongdong Li, Liang Zheng

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Are Labels Always Necessary for Classifier Accuracy Evaluation?

Weijian Deng, Liang Zheng

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

2020

Are Labels Necessary for Classifier Accuracy Evaluation?

Weijian Deng, Liang Zheng

CoRR, 2020

2019

Vehicle Re-Identification with Location and Time Stamps.

Kai Lv, Heming Du, Yunzhong Hou, Weijian Deng, Hao Sheng, Jianbin Jiao, Liang Zheng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Domain Alignment with Triplets.

Weijian Deng, Liang Zheng, Jianbin Jiao

CoRR, 2018

Similarity-preserving Image-image Domain Adaptation for Person Re-identification.

Weijian Deng, Liang Zheng, Qixiang Ye, Yi Yang, Jianbin Jiao

CoRR, 2018

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

A Word Embedding Transfer Model for Robust Text Categorization.

Yiming Zhang, Jing Wang, Weijian Deng, Yaojie Lu

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018

2017

SVDNet for Pedestrian Retrieval.

Yifan Sun, Liang Zheng, Weijian Deng, Shengjin Wang

Proceedings of the IEEE International Conference on Computer Vision, 2017