Journal Papers
- Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, and Jiwen Lu, Point-to-Pixel Prompting for Point Cloud Analysis with Pre-trained Image Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
- Yu Zheng, Yueqi Duan, Zongtai Li, Jie Zhou, and Jiwen Lu, Learning Dynamic Scene-conditioned 3D Object Detectors, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
- Wenliang Zhao, Yongming Rao, Jie Zhou, and Jiwen Lu, DIML: Deep Interpretable Metric Learning via Structural Matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
- Xiuwei Xu, Ziwei Wang, Jie Zhou, and Jiwen Lu, Back to Reality: Learning Data-Efficient 3D Object Detector with Shape Guidance, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
- Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, and Jiwen Lu, Introspective Deep Metric Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
- Ziwei Wang, Han Xiao, Jie Zhou, and Jiwen Lu, Learning Generalizable Mixed-Precision Quantization via Attribution Imitation, International Journal of Computer Vision, 2024.
- Jinglin Xu, Yongming Rao, Jie Zhou and Jiwen Lu, Procedure-aware Action Quality Assessment: Datasets and Performance Evaluation, International Journal of Computer Vision, 2024.
- Yu Zheng, Jiwen Lu, Yueqi Duan, and Jie Zhou, Structural Relation Modeling of 3D Point Clouds, IEEE Transactions on Image Processing, 2024.
- Jingyi Zhang, Ziwei Wang, Haoyu Wang, Jie Zhou, and Jiwen Lu, Anycost Network Quantization for Image Super-Resolution, IEEE Transactions on Image Processing, 2024.
- Linqing Zhao, Yi Wei, Jiaxin Li, Jie Zhou, and Jiwen Lu, Structure-aware Cross-Modal Transformer for Depth Completion, IEEE Transactions on Image Processing, 2024.
- Linqing Zhao, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, and Jiwen Lu, StructLane: Leveraging Structural Relations for Lane Detection, IEEE Transactions on Image Processing, 2024.
- Yueqi Duan, Haowen Sun, Juncheng Yan, Jiwen Lu, Jie Zhou, Learning Cross-Attention Point Transformer With Global Porous Sampling, 2024.
- Yixuan Zhu, Wenliang Zhao, Yansong Tang, Yongming Rao, Jie Zhou, and Jiwen Lu, StableSwap: Stable Face Swapping in a Shared and Controllable Latent Space, IEEE Transactions on Multimedia, 2024.
- Shuai Shen, Wanhua Li, Xiaoke Huang, Jie Zhou, and Jiwen Lu, SD-NeRF: Towards Lifelike Talking Head Animation via Spatially-adaptive Dual-driven NeRFs, IEEE Transactions on Multimedia, 2024.
- Shuai Zeng, Wenzhao Zheng, Jiwen Lu, and Haibin Yan, Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detection, IEEE Transactions on Multimedia, 2024.
- Linqing Zhao, Wenzhao Zheng, Yueqi Duan, Jie Zhou, and Jiwen Lu, SPTR: Structure-Preserving Transformer for Unsupervised Indoor Depth Completion, IEEE Transactions on Circuits and Systems for Video Technology, 2024.
- An Tao, Yueqi Duan, Yingqi Wang, Jiwen Lu, and Jie Zhou, Dynamics-aware Adversarial Attack of Adaptive Neural Networks, IEEE Transactions on Circuits and Systems for Video Technology, 2024.
- Kangjie Liu, Borui Zhang, Jiwen Lu, and Haibin Yan, Towards Integrity and Detail with Ensemble Learning for Salient Object Detection in Optical Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, 2024.
- Bingyao Yu, Wanhua Li, Xiu Li, Jie Zhou, and Jiwen Lu, Uncertainty-aware Hierarchical Labeling for Face Forgery Detection, Pattern Recognition, 2024.
- Chengkun Wang, Wenzhao Zheng, Xian Sun, Jie Zhou, and Jiwen Lu, Probabilistic Deep Metric Learning for Hyperspectral Image Classification, Pattern Recognition, 2024.
- Zhenyu Wu, Ziwei Wang, Shengyu Liu, Hao Luo, Jiwen Lu, and Haibin Yan, FairScene: Learning Unbiased Object Interactions for Indoor Scene Synthesis, Pattern Recognition, 2024.
Conference Papers
- Ziyi Wang, Yanbo Wang, Xumin Yu, Jie Zhou, and Jiwen Lu, XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation, NeurIPS, 2024.
- Wenliang Zhao, Minglei Shi, Xumin Yu, Jie Zhou, and Jiwen Lu, FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner, NeurIPS, 2024.
- Hang Yin, Xiuwei Xu, Zhenyu Wu, Jie Zhou, and Jiwen Lu, SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation, NeurIPS, 2024.
- Chubin Zhang, Hongliang Song, Yi Wei, Chen Yu, Jiwen Lu, and Yansong Tang, GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation, NeurIPS, 2024.
- Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, and Jiwen Lu, Q-VLM: Post-training Quantization for Large Vision-Language Models, NeurIPS, 2024.
- Dongchen Han, Yifan Pu, Zhuofan Xia, Yizeng Han, Xuran Pan, Xiu Li, Jiwen Lu, Shiji Song, and Gao Huang, Bridging the Divide: Reconsidering Softmax and Linear Attention, NeurIPS, 2024.
- Wenliang Zhao, Haolin Wang, Jie Zhou, and Jiwen Lu, DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation, ECCV, 2024.
- Xiuwei Xu, Zhihao Sun, Ziwei Wang, Hongmin Liu, Jie Zhou, and Jiwen Lu, DSPDet3D: 3D Small Object Detection with Dynamic Spatial Pruning, ECCV, 2024.
- Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, and Jiwen Lu, GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction, ECCV, 2024.
- Wenzhao Zheng, Weiliang Chen, Yuanhui Huang, Borui Zhang, Yueqi Duan, and Jiwen Lu, OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving, ECCV, 2024.
- Han Xiao, Wenzhao Zheng, Sicheng Zuo1, Peng Gao, Jie Zhou, and Jiwen Lu, SpatialFormer: Learning Generalizable Image Representation via Adaptive Spatial Tokens, ECCV, 2024.
- Xumin Yu, Yanbo Wang, Jie Zhou, and Jiwen Lu, ProtoComp: Diverse Point Cloud Completion with Controllable Prototype, ECCV, 2024.
- Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, and Jiwen Lu, Efficient Inference of Vision Instruction-Following Models with Elastic Cache, ECCV, 2024.
- Zhiheng Li, Muheng Li, Jixuan Fan, Lei Chen, Yansong Tang, Jiwen Lu, and Jie Zhou, Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution, ECCV, 2024.
- Xiaofeng Wang, Zheng Zhu, Guan Huang, Xinze Chen, Jiagang Zhu, and Jiwen Lu, DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving, ECCV, 2024.
- Guanxing Lu, Shiyi Zhang, Ziwei Wang, Changliu Li, Jiwen Lu, and Yansong Tang, ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation ECCV, 2024.
- Yixuan Zhu, Wenliang Zhao, Ao Li, Yansong Tang, Jie Zhou, and Jiwen Lu, FlowIE: Efficient Image Enhancement via Rectified Flow, CVPR, 2024.
- Yuanhui Huang, Wenzhao Zhneg, Borui Zhang, Jie Zhou, and Jiwen Lu, SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction, CVPR, 2024.
- Xiuwei Xu, Chong Xia, Ziwei Wang, Linqing Zhao, Yueqi Duan, Jie Zhou, and Jiwen Lu, Memory-based Adapters for Online 3D Scene Perception, CVPR, 2024.
- Linqing Zhao, Xiuwei Xu, Ziwei Wang, Yunpeng Zhang, Borui Zhang, Wenzhao Zheng, Dalong Du, Jie Zhou, and Jiwen Lu, LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-based 3D Semantic Occupancy Prediction, CVPR, 2024.
- Yixuan Zhu, Ao Li, Yansong Tang, Wenliang Zhao, Jie Zhou, and Jiwen Lu, DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh Recovery, CVPR, 2024.
- Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, and Jiwen Lu, Towards Accurate Data-free Quantization for Diffusion Models, CVPR, 2024.
- Haowen Sun, Yueqi Duan, Juncheng Yan, Yifan Liu, and Jiwen Lu, MirageRoom: 3D Scene Segmentation with 2D Pre-trained Models by Mirage Projection, CVPR, 2024.
- Shiyi Zhang, Sule Bai, Guangyi Chen, Lei Chen, Jiwen Lu, Junle Wang, and Yansong Tang, Narrative Action Evaluation with Prompt-Guided Multimodal Interaction, CVPR, 2024.
- Xiaoke Huang, Jianfeng Wang, Yansong Tang, Zheng Zhang, Han Hu, Jiwen Lu, Lijuan Wang, and Zicheng Liu, Segment and Caption Anything, CVPR, 2024.
- Shuofeng Sun, Yongming Rao, Jiwen Lu, and Haibin Yan, X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition, CVPR, 2024.
- Jianjian Cao, Peng Ye, Shengze Li, Chong Yu, Yansong Tang, Jiwen Lu, and Tao Chen, MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer, CVPR, 2024.
- Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Bo Zhang, Yansong Tang, Jiwen Lu, and Tao Chen, Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression, CVPR, 2024.
- Borui Zhang, Wenzhao Zheng, Jie Zhou, and Jiwen Lu, Path Choice Matters for Clear Attributions in Path Methods, ICLR, 2024.
