Weijian Deng - RankMe

56 papers A* 15A 2Misc 1Journal 32Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Progressive Split Mamba: Effective State Space Modelling for Image Restoration. CoRR Mohammed Hassanin, Nour Moustafa, Weijian Deng, Ibrahim Radwan
2026	J	`jnl`	Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for Interpretable AI-Generated Image Detection. CoRR Yao Xiao, Weiyan Chen, Jiahao Chen, Zijie Cao, Weijian Deng, Binbin Yang, Ziyi Dong, Xiangyang Ji, Wei Ke, Pengxu Wei, Liang Lin
2025	—	`conf`	3D-GPT: Procedural 3D Modeling with Large Language Models. 3DV Chunyi Sun, Junlin Han, Weijian Deng, Xinlong Wang, Zishan Qin, Stephen Gould
2025	J	`jnl`	Can We Achieve Efficient Diffusion without Self-Attention? Distilling Self-Attention into Convolutions. CoRR Ziyi Dong, Chengxing Zhou, Weijian Deng, Pengxu Wei, Xiangyang Ji, Liang Lin
2025	J	`jnl`	Confidence and Dispersity as Signals: Unsupervised Model Evaluation and Ranking. CoRR Weijian Deng, Weijie Tu, Ibrahim Radwan, Mohammad Abu Alsheikh, Stephen Gould, Liang Zheng
2025	J	`jnl`	Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy. CoRR Qing Zhao, Weijian Deng, Pengxu Wei, Ziyi Dong, Hannan Lu, Xiangyang Ji, Liang Lin
2025	A*	`conf`	Pos3R: 6D Pose Estimation for Unseen Objects Made Easy. CVPR Weijian Deng, Dylan Campbell, Chunyi Sun, Jiahao Zhang, Shubham Kanitkar, Matthew E. Shaffer, Stephen Gould
2025	J	`jnl`	Probe by Gaming: A Game-based Benchmark for Assessing Conceptual Knowledge in LLMs. CoRR Shuhang Xu, Weijian Deng, Yixuan Zhou, Fangwei Zhong
2025	A*	`conf`	Ranked from Within: Ranking Large Multimodal Models Without Labels. ICML Weijie Tu, Weijian Deng, Dylan Campbell, Yu Yao, Jiyang Zheng, Tom Gedeon, Tongliang Liu
2025	J	`jnl`	RefRef: A Synthetic Dataset and Benchmark for Reconstructing Refractive and Reflective Objects. CoRR Yue Yin, Enze Tao, Weijian Deng, Dylan Campbell
2025	J	`jnl`	Toward a Holistic Evaluation of Robustness in CLIP Models. IEEE Trans. Pattern Anal. Mach. Intell. Weijie Tu, Weijian Deng, Tom Gedeon
2025	—	`conf`	Unsupervised Decomposition of 3D Shapes into Expressive and Editable Extruded Profile Primitives. SIGGRAPH (Conference Paper Track) Chunyi Sun, Junlin Han, Runjia Li, Weijian Deng, Dylan Campbell, Stephen Gould
2024	J	`jnl`	A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP). CoRR Weijie Tu, Weijian Deng, Tom Gedeon
2024	A*	`conf`	An Empirical Study Into What Matters for Calibrating Vision-Language Models. ICML Weijie Tu, Weijian Deng, Dylan Campbell, Stephen Gould, Tom Gedeon
2024	J	`jnl`	An Empirical Study Into What Matters for Calibrating Vision-Language Models. CoRR Weijie Tu, Weijian Deng, Dylan Campbell, Stephen Gould, Tom Gedeon
2024	J	`jnl`	AutoEval: Are Labels Always Necessary for Classifier Accuracy Evaluation? IEEE Trans. Pattern Anal. Mach. Intell. Weijian Deng, Liang Zheng
2024	A*	`conf`	Differentiable Neural Surface Refinement for Modeling Transparent Objects. CVPR Weijian Deng, Dylan Campbell, Chunyi Sun, Shubham Kanitkar, Matthew E. Shaffer, Stephen Gould
2024	J	`jnl`	MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts. CoRR Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An
2024	A*	`conf`	MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts. NeurIPS Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An
2024	J	`jnl`	Manual-PA: Learning 3D Part Assembly from Instruction Diagrams. CoRR Jiahao Zhang, Anoop Cherian, Cristian Rodriguez, Weijian Deng, Stephen Gould
2024	J	`jnl`	Ranked from Within: Ranking Large Multimodal Models for Visual Question Answering Without Labels. CoRR Weijie Tu, Weijian Deng, Dylan Campbell, Yu Yao, Jiyang Zheng, Tom Gedeon, Tongliang Liu
2024	A	`conf`	Ray Deformation Networks for Novel View Synthesis of Refractive Objects. WACV Weijian Deng, Dylan Campbell, Chunyi Sun, Shubham Kanitkar, Matthew E. Shaffer, Stephen Gould
2024	J	`jnl`	Toward a Holistic Evaluation of Robustness in CLIP Models. CoRR Weijie Tu, Weijian Deng, Tom Gedeon
2024	Misc	`conf`	UNAD: Universal Anatomy-Initialized Noise Distribution Learning Framework Towards Low-Dose CT Denoising. ICASSP Lingrui Gu, Weijian Deng, Guoli Wang
2024	J	`jnl`	What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? CoRR Weijie Tu, Weijian Deng, Liang Zheng, Tom Gedeon
2024	J	`jnl`	What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Trans. Mach. Learn. Res. Weijie Tu, Weijian Deng, Liang Zheng, Tom Gedeon
2023	J	`jnl`	3D-GPT: Procedural 3D Modeling with Large Language Models. CoRR Chunyi Sun, Junlin Han, Weijian Deng, Xinlong Wang, Zishan Qin, Stephen Gould
2023	A*	`conf`	A Bag-of-Prototypes Representation for Dataset-Level Applications. CVPR Weijie Tu, Weijian Deng, Tom Gedeon, Liang Zheng
2023	J	`jnl`	A Bag-of-Prototypes Representation for Dataset-Level Applications. CoRR Weijie Tu, Weijian Deng, Tom Gedeon, Liang Zheng
2023	A*	`conf`	A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP). NeurIPS Weijie Tu, Weijian Deng, Tom Gedeon
2023	J	`jnl`	Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift. CoRR Yuli Zou, Weijian Deng, Liang Zheng
2023	A*	`conf`	Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios. ICCV Yuli Zou, Weijian Deng, Liang Zheng
2023	J	`jnl`	Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation. CoRR Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng
2023	A*	`conf`	Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation. ICML Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng
2023	—	`conf`	NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 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	—	`conf`	Reparameterized Residual Feature Network For Lightweight Image Super-Resolution. CVPR Workshops Weijian Deng, Hongjie Yuan, Lunhui Deng, Zengtong Lu
2023	A	`conf`	Split to Learn: Gradient Split for Multi-Task Human Image Analysis. WACV Weijian Deng, Yumin Suh, Xiang Yu, Masoud Faraki, Liang Zheng, Manmohan Chandraker
2022	J	`jnl`	Fine-Grained Classification via Categorical Memory Networks. IEEE Trans. Image Process. Weijian Deng, Joshua Marsh, Stephen Gould, Liang Zheng
2022	A*	`conf`	On the Strong Correlation Between Model Invariance and Generalization. NeurIPS Weijian Deng, Stephen Gould, Liang Zheng
2022	J	`jnl`	On the Strong Correlation Between Model Invariance and Generalization. CoRR Weijian Deng, Stephen Gould, Liang Zheng
2021	A*	`conf`	Are Labels Always Necessary for Classifier Accuracy Evaluation? CVPR Weijian Deng, Liang Zheng
2021	A*	`conf`	Ranking Models in Unlabeled New Environments. ICCV Xiaoxiao Sun, Yunzhong Hou, Weijian Deng, Hongdong Li, Liang Zheng
2021	J	`jnl`	Ranking Models in Unlabeled New Environments. CoRR Xiaoxiao Sun, Yunzhong Hou, Weijian Deng, Hongdong Li, Liang Zheng
2021	J	`jnl`	Rethinking Triplet Loss for Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. Weijian Deng, Liang Zheng, Yifan Sun, Jianbin Jiao
2021	A*	`conf`	What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? ICML Weijian Deng, Stephen Gould, Liang Zheng
2021	J	`jnl`	What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? CoRR Weijian Deng, Stephen Gould, Liang Zheng
2020	J	`jnl`	Are Labels Necessary for Classifier Accuracy Evaluation? CoRR Weijian Deng, Liang Zheng
2020	J	`jnl`	Fine-grained Classification via Categorical Memory Networks. CoRR Weijian Deng, Joshua Marsh, Stephen Gould, Liang Zheng
2019	—	`conf`	Vehicle Re-Identification with Location and Time Stamps. CVPR Workshops Kai Lv, Heming Du, Yunzhong Hou, Weijian Deng, Hao Sheng, Jianbin Jiao, Liang Zheng
2018	—	`conf`	A Word Embedding Transfer Model for Robust Text Categorization. CCL Yiming Zhang, Jing Wang, Weijian Deng, Yaojie Lu
2018	J	`jnl`	Domain Alignment with Triplets. CoRR Weijian Deng, Liang Zheng, Jianbin Jiao
2018	A*	`conf`	Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification. CVPR Weijian Deng, Liang Zheng, Qixiang Ye, Guoliang Kang, Yi Yang, Jianbin Jiao
2018	J	`jnl`	Similarity-preserving Image-image Domain Adaptation for Person Re-identification. CoRR Weijian Deng, Liang Zheng, Qixiang Ye, Yi Yang, Jianbin Jiao
2017	J	`jnl`	Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification. CoRR Weijian Deng, Liang Zheng, Guoliang Kang, Yi Yang, Qixiang Ye, Jianbin Jiao
2017	A*	`conf`	SVDNet for Pedestrian Retrieval. ICCV Yifan Sun, Liang Zheng, Weijian Deng, Shengjin Wang
2017	J	`jnl`	SVDNet for Pedestrian Retrieval. CoRR Yifan Sun, Liang Zheng, Weijian Deng, Shengjin Wang