Hu, Jie

56 publications

ICCV 2025 Adapt Foundational Segmentation Models with Heterogeneous Searching Space Li Yi, Jie Hu, Songan Zhang, Guannan Jiang
ICLR 2025 AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution Yun Zhang, Wei Li, Simiao Li, Hanting Chen, Zhijun Tu, Bingyi Jing, Shaohui Lin, Jie Hu, Wenjia Wang
ICML 2025 Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs Jie Hu, Yi-Ting Ma, Do Young Eun
ICLR 2025 CBQ: Cross-Block Quantization for Large Language Models Xin Ding, Xiaoyu Liu, Zhijun Tu, Yun Zhang, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang
ICLR 2025 Denoising with a Joint-Embedding Predictive Architecture Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu
ICML 2025 Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts Kun Cheng, Xiao He, Lei Yu, Zhijun Tu, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu
JMLR 2025 DisC2o-HD: Distributed Causal Inference with Covariates Shift for Analyzing Real-World High-Dimensional Data Jiayi Tong, Jie Hu, George Hripcsak, Yang Ning, Yong Chen
ICCV 2025 DisTime: Distribution-Based Time Representation for Video Large Language Models Yingsen Zeng, Zepeng Huang, Yujie Zhong, Chengjian Feng, Jie Hu, Lin Ma, Yang Liu
AAAI 2025 Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration Yunshuai Zhou, Junbo Qiao, Jincheng Liao, Wei Li, Simiao Li, Jiao Xie, Yunhang Shen, Jie Hu, Shaohui Lin
AAAI 2025 EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation Hongwei Niu, Jie Hu, Jianghang Lin, Guannan Jiang, Shengchuan Zhang
AAAI 2025 Effective Diffusion Transformer Architecture for Image Super-Resolution Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu
AAAI 2025 GIM: A Million-Scale Benchmark for Generative Image Manipulation Detection and Localization Yirui Chen, Xudong Huang, Quan Zhang, Wei Li, Mingjian Zhu, Qiangyu Yan, Simiao Li, Hanting Chen, Hailin Hu, Jie Yang, Wei Liu, Jie Hu
CVPR 2025 HyperSeg: Hybrid Segmentation Assistant with Fine-Grained Visual Perceiver Cong Wei, Yujie Zhong, Haoxian Tan, Yong Liu, Jie Hu, Dengjie Li, Zheng Zhao, Yujiu Yang
ICLR 2025 Knowledge Distillation with Multi-Granularity Mixture of Priors for Image Super-Resolution Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu
NeurIPS 2025 MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification Yingying Feng, Jie Li, Jie Hu, Yukang Zhang, Lei Tan, Jiayi Ji
CVPR 2025 RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler Xin Ding, Lei Yu, Xin Li, Zhijun Tu, Hanting Chen, Jie Hu, Zhibo Chen
IJCAI 2025 Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models Yang Zhang, Yu Yu, Bo Tang, Yu Zhu, Chuxiong Sun, Wenqiang Wei, Jie Hu, Zipeng Xie, Zhiyu Li, Feiyu Xiong, Edward Chung
ICCV 2025 WildSeg3D: Segment Any 3D Objects in the Wild from 2D Images Yansong Guo, Jie Hu, Yansong Qu, Liujuan Cao
ICLR 2024 Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks Jie Hu, Vishwaraj Doshi, Do Young Eun
ECCV 2024 CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection Xunfa Lai, Zhiyu Yang, Jie Hu, ShengChuan Zhang, Liujuan Cao, Guannan Jiang, Songan Zhang, Zhiyu Wang, Rongrong Ji
AISTATS 2024 Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications Jie Hu, Vishwaraj Doshi, Do Young Eun
CVPR 2024 Distilling Semantic Priors from SAM to Efficient Image Restoration Models Quan Zhang, Xiaoyu Liu, Wei Li, Hanting Chen, Junchao Liu, Jie Hu, Zhiwei Xiong, Chun Yuan, Yunhe Wang
ICML 2024 Distributed Bilevel Optimization with Communication Compression Yutong He, Jie Hu, Xinmeng Huang, Songtao Lu, Bin Wang, Kun Yuan
NeurIPS 2024 Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD Jie Hu, Yi-Ting Ma, Do Young Eun
ECCV 2024 Learning Quantized Adaptive Conditions for Diffusion Models Yuchen Liang, Yuchuan Tian, Lei Yu, Huaao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen
ECCV 2024 Modeling Label Correlations with Latent Context for Multi-Label Recognition Zhaomin Chen, Quan Cui, Ruoxi Deng, Jie Hu, Guodao Zhang
ECCV 2024 PQ-SAM: Post-Training Quantization for Segment Anything Model Xiaoyu Liu, Xin Ding, Lei Yu, Yuanyuan Xi, Wei Li, Zhijun Tu, Jie Hu, Hanting Chen, Baoqun Yin, Zhiwei Xiong
AAAI 2024 Real3D: The Curious Case of Neural Scene Degeneration Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu
AAAI 2024 Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu
IJCAI 2024 Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract) Vishwaraj Doshi, Jie Hu, Do Young Eun
AAAI 2024 Self-Supervised Representation Learning with Meta Comprehensive Regularization Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi
NeurIPS 2024 U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang
CVPR 2023 DistilPose: Tokenized Pose Regression with Heatmap Distillation Suhang Ye, Yingyi Zhang, Jie Hu, Liujuan Cao, Shengchuan Zhang, Lei Shen, Jun Wang, Shouhong Ding, Rongrong Ji
CVPR 2023 Elastic Aggregation for Federated Optimization Dengsheng Chen, Jie Hu, Vince Junkai Tan, Xiaoming Wei, Enhua Wu
NeurIPS 2023 GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang
CVPRW 2023 NTIRE 2023 Challenge on Image Denoising: Methods and Results Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, Jie Hu, Yunhe Wang, Xiangyu Kong, Jinlong Wu, Dafeng Zhang, Jianxing Zhang, Shuai Liu, Furui Bai, Chaoyu Feng, Hao Wang, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Rongjian Xu, Zhilu Zhang, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qi Wu, Mingyan Han, Shen Cheng, Haipeng Li, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Jinting Luo, Wenjie Lin, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Aditya Arora, Syed Waqas Zamir, Javier Vazquez-Corral, Konstantinos G. Derpanis, Michael S. Brown, Hao Li, Zhihao Zhao, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bo Yang, Jingxiang Chen, Chenghua Li, Xi Zhang, Zhao Zhang, Jiahuan Ren, Zhicheng Ji, Kang Miao, Suiyi Zhao, Huan Zheng, Yanyan Wei, Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, Rajeev Irny, Sriharsha Koundinya, Vighnesh Kamath, Gaurav Khandelwal, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Shijie Chen, Chengqiang Zhao, Huabin Yang, Zhongjian Zhang, Junjia Huang, Yanru Zhang
CVPRW 2023 OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework Dengsheng Chen, Vince Junkai Tan, Zhilin Lu, Enhua Wu, Jie Hu
ICCV 2023 Pseudo-Label Alignment for Semi-Supervised Instance Segmentation Jie Hu, Chen Chen, Liujuan Cao, Shengchuan Zhang, Annan Shu, Guannan Jiang, Rongrong Ji
CVPR 2023 RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis Xudong Huang, Wei Li, Jie Hu, Hanting Chen, Yunhe Wang
ICLR 2023 Rethinking Skip Connection Model as a Learnable Markov Chain Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu
ICML 2023 Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains Vishwaraj Doshi, Jie Hu, Do Young Eun
CVPR 2023 Toward Accurate Post-Training Quantization for Image Super Resolution Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang
CVPR 2023 You Only Segment Once: Towards Real-Time Panoptic Segmentation Jie Hu, Linyan Huang, Tianhe Ren, Shengchuan Zhang, Rongrong Ji, Liujuan Cao
NeurIPS 2022 Efficiency Ordering of Stochastic Gradient Descent Jie Hu, Vishwaraj Doshi, Do-Young Eun
AAAI 2022 Elastic-Link for Binarized Neural Networks Jie Hu, Ziheng Wu, Vince Junkai Tan, Zhilin Lu, Mengze Zeng, Enhua Wu
AAAI 2022 ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising Liuyu Xiang, Jundong Zhou, Jirui Liu, Zerun Wang, Haidong Huang, Jie Hu, Jungong Han, Yuchen Guo, Guiguang Ding
ICCV 2021 Architecture Disentanglement for Deep Neural Networks Jie Hu, Liujuan Cao, Tong Tong, Qixiang Ye, Shengchuan Zhang, Ke Li, Feiyue Huang, Ling Shao, Rongrong Ji
CVPR 2021 Image-to-Image Translation via Hierarchical Style Disentanglement Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji
CVPR 2021 Involution: Inverting the Inherence of Convolution for Visual Recognition Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen
CVPR 2021 Learning the Superpixel in a Non-Iterative and Lifelong Manner Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu
ICCV 2021 Unifying Nonlocal Blocks for Neural Networks Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang
NeurIPS 2019 Information Competing Process for Learning Diversified Representations Jie Hu, Rongrong Ji, ShengChuan Zhang, Xiaoshuai Sun, Qixiang Ye, Chia-Wen Lin, Qi Tian
NeurIPS 2018 Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi
IJCAI 2018 Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid Shengchuan Zhang, Rongrong Ji, Jie Hu, Yue Gao, Chia-Wen Lin
CVPR 2016 A Key Volume Mining Deep Framework for Action Recognition Wangjiang Zhu, Jie Hu, Gang Sun, Xudong Cao, Yu Qiao
ECCV 2012 Modeling Complex Temporal Composition of Actionlets for Activity Prediction Kang Li, Jie Hu, Yun Fu