Cheng, Jun

25 publications

AAAI 2025 Debiased Distillation for Consistency Regularization Lu Wang, Liuchi Xu, Xiong Yang, Zhenhua Huang, Jun Cheng

CVPR 2025 EchoONE: Segmenting Multiple Echocardiography Planes in One Model Jiongtong Hu, Wufeng Xue, Jun Cheng, Yingying Liu, Wei Zhuo, Dong Ni

ICLR 2025 Evidential Learning-Based Certainty Estimation for Robust Dense Feature Matching Lile Cai, Chuan-Sheng Foo, Xun Xu, Zaiwang Gu, Jun Cheng, Xulei Yang

IJCAI 2025 Human-Imperceptible, Machine-Recognizable Images Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Dacheng Tao, Jun Cheng

ICCV 2025 Local Dense Logit Relations for Enhanced Knowledge Distillation Liuchi Xu, Kang Liu, Jinshuai Liu, Lu Wang, Lisheng Xu, Jun Cheng

TMLR 2025 Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition Yifan Lan, Cai Xin, Jun Cheng, Shan Tan

CVPR 2025 Rectification-Specific Supervision and Constrained Estimator for Online Stereo Rectification Rui Gong, Kim-Hui Yap, Weide Liu, Xulei Yang, Jun Cheng

CVPR 2025 Task-Aware Clustering for Prompting Vision-Language Models Fusheng Hao, Fengxiang He, Fuxiang Wu, Tichao Wang, Chengqun Song, Jun Cheng

WACV 2025 Uncertainty Aware Interest Point Detection and Description Jingbo Zeng, Zaiwang Gu, Weide Liu, Lile Cai, Jun Cheng

NeurIPS 2024 Diffusion Priors for Variational Likelihood Estimation and Image Denoising Jun Cheng, Shan Tan

CVPR 2024 Learning Intra-View and Cross-View Geometric Knowledge for Stereo Matching Rui Gong, Weide Liu, Zaiwang Gu, Xulei Yang, Jun Cheng

ECCV 2024 OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding Ming Hu, Peng Xia, Lin Wang, Siyuan Yan, Feilong Tang, Zhongxing Xu, Yimin Luo, Kaimin Song, Jurgen Leitner, Xuelian Cheng, Jun Cheng, Chi Liu, Kaijing Zhou, Zongyuan Ge

AAAI 2024 SuperJunction: Learning-Based Junction Detection for Retinal Image Registration Yu Wang, Xiaoye Wang, Zaiwang Gu, Weide Liu, Wee Siong Ng, Weimin Huang, Jun Cheng

CVPR 2024 Transfer CLIP for Generalizable Image Denoising Jun Cheng, Dong Liang, Shan Tan

TMLR 2024 When Low-Vision Task Meets Dense Prediction Tasks with Less Data: An Auxiliary Self-Trained Geometry Regularization Zaiwang Gu, Weide Liu, Xulei Yang, Chuan-Sheng Foo, Jun Cheng

ICCV 2023 Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, Dacheng Tao, Jun Cheng

ICCV 2023 ELFNet: Evidential Local-Global Fusion for Stereo Matching Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, Jun Cheng

AAAI 2023 Reject Decoding via Language-Vision Models for Text-to-Image Synthesis Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Lei Wang, Jun Cheng

ICCV 2023 Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising Jun Cheng, Tao Liu, Shan Tan

CVPR 2023 Spectral Bayesian Uncertainty for Image Super-Resolution Tao Liu, Jun Cheng, Shan Tan

CVPR 2022 Text-to-Image Synthesis Based on Object-Guided Joint-Decoding Transformer Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng

IJCAI 2021 Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification Haocong Rao, Shihao Xu, Xiping Hu, Jun Cheng, Bin Hu

ECCV 2020 Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao

IJCAI 2020 Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Huang Da, Jun Cheng, Bin Hu

CVPR 2015 A Low-Dimensional Step Pattern Analysis Algorithm with Application to Multimodal Retinal Image Registration Jimmy Addison Lee, Jun Cheng, Beng Hai Lee, Ee Ping Ong, Guozhen Xu, Damon Wing Kee Wong, Jiang Liu, Augustinus Laude, Tock Han Lim