Liu, Zhe

58 publications

AAAI 2025 DR-Encoder: Encode Low-Rank Gradients with Random Prior for Large Language Models Differentially Privately Huiwen Wu, Deyi Zhang, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Zhe Liu

ICCV 2025 Describe, Adapt and Combine: Empowering CLIP Encoders for Open-Set 3D Object Retrieval Zhichuan Wang, Yang Zhou, Zhe Liu, Rui Yu, Song Bai, Yulong Wang, Xinwei He, Xiang Bai

AAAI 2025 Differential Private Stochastic Optimization with Heavy-Tailed Data: Towards Optimal Rates Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan, Qingming Li

ICLR 2025 Enhancing Learning with Label Differential Privacy by Vector Approximation Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen, Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li

AAAI 2025 FLAME: Learning to Navigate with Multimodal LLM in Urban Environments Yunzhe Xu, Yiyuan Pan, Zhe Liu, Hesheng Wang

CVPR 2025 Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement Yuchen Ren, Zhengyu Zhao, Chenhao Lin, Bo Yang, Lu Zhou, Zhe Liu, Chao Shen

AAAI 2025 Improving Integrated Gradient-Based Transferable Adversarial Examples by Refining the Integration Path Yuchen Ren, Zhengyu Zhao, Chenhao Lin, Bo Yang, Lu Zhou, Zhe Liu, Chao Shen

ICCV 2025 LONG3R: Long Sequence Streaming 3D Reconstruction Zhuoguang Chen, Minghui Qin, Tianyuan Yuan, Zhe Liu, Hang Zhao

CVPRW 2025 Learned Smartphone ISP on Mobile GPUs, Mobile AI 2025 Challenge: Report Andrey Ignatov, Georgy Perevozchikov, Radu Timofte, Cheng Li, Lian Liu, Jun Cao, Heng Sun, Wu Pan, Song Wang, Keqiang Yu, Shuo Liu, Hongqin He, Zhenhao Dong, Jianke Chen, Dejun Hao, Keqiang Yu, Tingniao Wang, Xiaoqing Zhou, Dong Zhang, Chunxia Zhang, Jianguang He, Hailong Yan, Ao Li, Xiangtao Zhang, Zhe Liu, Ce Zhu, Le Zhang, Andrei Arhire, Shuo Liu, Junpyo Seo, Fen Xie, Xiuzhi Fang, Chen Wu, Zhangsheng Wang, Pengbo Zhang, Jiazi Huang

CVPR 2025 Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models Jiuming Liu, Jinru Han, Lihao Liu, Angelica I. Aviles-Rivero, Chaokang Jiang, Zhe Liu, Hesheng Wang

ICCV 2025 MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devices Hailong Yan, Ao Li, Xiangtao Zhang, Zhe Liu, Zenglin Shi, Ce Zhu, Le Zhang

CVPRW 2025 NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results Xiaoning Liu, Zongwei Wu, Florin-Alexandru Vasluianu, Hailong Yan, Bin Ren, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Kangbiao Shi, Yixu Feng, Tao Hu, Yu Cao, Peng Wu, Yijin Liang, Yanning Zhang, Qingsen Yan, Han Zhou, Wei Dong, Yan Min, Mohab Kishawy, Jun Chen, Pengpeng Yu, Anjin Park, Seung-Soo Lee, Young-Joon Park, Zixiao Hu, Junyv Liu, Huilin Zhang, Jun Zhang, Fei Wan, Bingxin Xu, Hongzhe Liu, Cheng Xu, Weiguo Pan, Songyin Dai, Xunpeng Yi, Qinglong Yan, Yibing Zhang, Jiayi Ma, Changhui Hu, Kerui Hu, Donghang Jing, Tiesheng Chen, Zhi Jin, Hongjun Wu, Biao Huang, Haitao Ling, Jiahao Wu, Dandan Zhan, G. Gyaneshwar Rao, Vijayalaxmi Ashok Aralikatti, Nikhil Akalwadi, Ramesh Ashok Tabib, Uma Mudenagudi, Ruirui Lin, Guoxi Huang, Nantheera Anantrasirichai, Qirui Yang, Alexandru Brateanu, Ciprian Orhei, Cosmin Ancuti, Daniel Feijoo, Juan C. Benito, Álvaro García, Marcos V. Conde, Yang Qin, Raul Balmez, Anas M. Ali, Bilel Benjdira, Wadii Boulila, Tianyi Mao, Huan Zheng, Yanyan Wei, Shengeng Tang, Dan Guo, Zhao Zhang, Sabari Nathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, Ao Li, Xiangtao Zhang, Zhe Liu, Yijie Tang, Jialong Tang, Zhicheng Fu, Gong Chen, Joe Nasti, John Nicholson, Zeyu Xiao, Zhuoyuan Li, Ashutosh Kulkarni, Prashant W. Patil, Santosh Kumar Vipparthi, Subrahmanyam Murala, Duan Liu, Weile Li, Hangyuan Lu, Rixian Liu, Tengfeng Wang, Jinxing Liang, Chenxin Yu

AAAI 2025 Planning from Imagination: Episodic Simulation and Episodic Memory for Vision-and-Language Navigation Yiyuan Pan, Yunzhe Xu, Zhe Liu, Hesheng Wang

CVPRW 2025 RGB Photo Enhancement on Mobile GPUs, Mobile AI 2025 Challenge: Report Andrey Ignatov, Georgy Perevozchikov, Radu Timofte, Wu Pan, Song Wang, Dong Zhang, Zhao Ran, Xiaochen Li, Shichang Ju, Diankai Zhang, Biao Wu, Shaoli Liu, Si Gao, Chengjian Zheng, Ning Wang, Yi Feng, Cailu Wan, Xiangji Wu, Hailong Yan, Ao Li, Xiangtao Zhang, Zhe Liu, Ce Zhu, Le Zhang, Jinjie Zhou, Yang Lu, Feng Duo, Runhua Deng, Xuanyu Chen, Shuhui Xie, Guojie Xiao, Zhifeng Wang, Long Peng, Aiwen Jiang

NeurIPS 2025 Seeing Through Uncertainty: Robust Task-Oriented Optimization in Visual Navigation Yiyuan Pan, Yunzhe Xu, Zhe Liu, Hesheng Wang

AAAI 2025 Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification Haojian Huang, Chuanyu Qin, Zhe Liu, Kaijing Ma, Jin Chen, Han Fang, Chao Ban, Hao Sun, Zhongjiang He

IJCAI 2025 UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Luoxi Jing, Dianxi Shi, Zhe Liu, Songchang Jin, Chunping Qiu, Ziteng Qiao, Yuxian Li, Jianqiang Xia

NeurIPS 2025 Wonder Wins Ways: Curiosity-Driven Exploration Through Multi-Agent Contextual Calibration Yiyuan Pan, Zhe Liu, Hesheng Wang

ECCVW 2024 A Computer Vision System for Automatic Edge Detection of Magnetic Grain Profile Zhe Liu, Ying Weng, Yiming Zhang

NeurIPS 2024 A Huber Loss Minimization Approach to Mean Estimation Under User-Level Differential Privacy Puning Zhao, Lifeng Lai, Li Shen, Qingming Li, Jiafei Wu, Zhe Liu

AAAI 2024 Attribute-Missing Graph Clustering Network Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu

CVPR 2024 Boosting Image Restoration via Priors from Pre-Trained Models Xiaogang Xu, Shu Kong, Tao Hu, Zhe Liu, Hujun Bao

CVPR 2024 Context-Based and Diversity-Driven Specificity in Compositional Zero-Shot Learning Yun Li, Zhe Liu, Hang Chen, Lina Yao

ECCV 2024 DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment Jiuming Liu, Dong Zhuo, Zhiheng Feng, Siting Zhu, Chensheng Peng, Zhe Liu, Hesheng Wang

AAAI 2024 DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering Shengju Yu, Siwei Wang, Pei Zhang, Miao Wang, Ziming Wang, Zhe Liu, Liming Fang, En Zhu, Xinwang Liu

CVPR 2024 DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement Jiuming Liu, Guangming Wang, Weicai Ye, Chaokang Jiang, Jinru Han, Zhe Liu, Guofeng Zhang, Dalong Du, Hesheng Wang

ECCV 2024 EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding Wenhua Wu, Qi Wang, Guangming Wang, Junping Wang, Tiankun Zhao, Yang Liu, Dongchao Gao, Zhe Liu, Hesheng Wang

ECCV 2024 Frontier-Enhanced Topological Memory with Improved Exploration Awareness for Embodied Visual Navigation Xinru Cui, Qiming Liu, Zhe Liu, Hesheng Wang

AAAI 2024 Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang, Zhe Liu, Xinwang Liu

NeurIPS 2024 LION: Linear Group RNN for 3D Object Detection in Point Clouds Zhe Liu, Jinghua Hou, Xinyu Wang, Xiaoqing Ye, Jingdong Wang, Hengshuang Zhao, Xiang Bai

ECCV 2024 OPEN: Object-Wise Position Embedding for Multi-View 3D Object Detection Jinghua Hou, Tong Wang, Xiaoqing Ye, Zhe Liu, Shi Gong, Xiao Tan, Errui Ding, Jingdong Wang, Xiang Bai

CVPR 2024 RCBEVDet: Radar-Camera Fusion in Bird's Eye View for 3D Object Detection Zhiwei Lin, Zhe Liu, Zhongyu Xia, Xinhao Wang, Yongtao Wang, Shengxiang Qi, Yang Dong, Nan Dong, Le Zhang, Ce Zhu

ECCV 2024 SEED: A Simple and Effective 3D DETR in Point Clouds Zhe Liu, Jinghua Hou, Xiaoqing Ye, Tong Wang, Jingdong Wang, Xiang Bai

ICCV 2023 A Simple Vision Transformer for Weakly Semi-Supervised 3D Object Detection Dingyuan Zhang, Dingkang Liang, Zhikang Zou, Jingyu Li, Xiaoqing Ye, Zhe Liu, Xiao Tan, Xiang Bai

AAAI 2023 Auto-Weighted Multi-View Clustering for Large-Scale Data Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou

ICML 2023 Consistency of Multiple Kernel Clustering Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu

ICCV 2023 Distilled Reverse Attention Network for Open-World Compositional Zero-Shot Learning Yun Li, Zhe Liu, Saurav Jha, Lina Yao

AAAI 2023 Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo

NeurIPS 2023 Query-Based Temporal Fusion with Explicit Motion for 3D Object Detection Jinghua Hou, Zhe Liu, Dingkang Liang, Zhikang Zou, Xiaoqing Ye, Xiang Bai

ICCV 2023 RLSAC: Reinforcement Learning Enhanced Sample Consensus for End-to-End Robust Estimation Chang Nie, Guangming Wang, Zhe Liu, Luca Cavalli, Marc Pollefeys, Hesheng Wang

ICCV 2023 RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration Jiuming Liu, Guangming Wang, Zhe Liu, Chaokang Jiang, Marc Pollefeys, Hesheng Wang

AAAI 2023 StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-Based 3D Object Detection Zhe Liu, Xiaoqing Ye, Xiao Tan, Errui Ding, Xiang Bai

AAAI 2023 TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry Jiuming Liu, Guangming Wang, Chaokang Jiang, Zhe Liu, Hesheng Wang

NeurIPSW 2022 FedSynth: Gradient Compression via Synthetic Data in Federated Learning Shengyuan Hu, Jack Goetz, Kshitiz Malik, Hongyuan Zhan, Zhe Liu, Yue Liu

NeurIPS 2022 Hilbert Distillation for Cross-Dimensionality Networks Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu

ECCV 2022 What Matters for 3D Scene Flow Network Guangming Wang, Yunzhe Hu, Zhe Liu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang

ICCVW 2021 CONet: Channel Optimization for Convolutional Neural Networks Mahdi S. Hosseini, Jia Shu Zhang, Zhe Liu, Andre Fu, Jingxuan Su, Mathieu Tuli, Konstantinos N. Plataniotis

ICCV 2021 Learning Icosahedral Spherical Probability mAP Based on Bingham Mixture Model for Vanishing Point Estimation Haoang Li, Kai Chen, Pyojin Kim, Kuk-Jin Yoon, Zhe Liu, Kyungdon Joo, Yun-Hui Liu

CVPR 2021 Learning to Identify Correct 2D-2D Line Correspondences on Sphere Haoang Li, Kai Chen, Ji Zhao, Jiangliu Wang, Pyojin Kim, Zhe Liu, Yun-Hui Liu

CVPR 2021 PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization Guangming Wang, Xinrui Wu, Zhe Liu, Hesheng Wang

AAAI 2021 Task Aligned Generative Meta-Learning for Zero-Shot Learning Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long

ECCV 2020 EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection Tengteng Huang, Zhe Liu, Xiwu Chen, Xiang Bai

ECCV 2020 Globally Optimal and Efficient Vanishing Point Estimation in Atlanta World Haoang Li, Pyojin Kim, Ji Zhao, Kyungdon Joo, Zhipeng Cai, Zhe Liu, Yun-Hui Liu

AAAI 2020 TANet: Robust 3D Object Detection from Point Clouds with Triple Attention Zhe Liu, Xin Zhao, Tengteng Huang, Ruolan Hu, Yu Zhou, Xiang Bai

AAAI 2019 3D Object Detection Using Scale Invariant and Feature Reweighting Networks Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang

AISTATS 2017 Learning Nonparametric Forest Graphical Models with Prior Information Yuancheng Zhu, Zhe Liu, Siqi Sun

NeurIPS 2014 Blossom Tree Graphical Models Zhe Liu, John Lafferty

ECCV 2014 Match Selection and Refinement for Highly Accurate Two-View Structure from Motion Zhe Liu, Pascal Monasse, Renaud Marlet