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2020 – today
- 2023
[j150]Haoxin Li
, Wei-Shi Zheng, Jianguo Zhang, Haifeng Hu, Jiwen Lu, Jian-Huang Lai:
Egocentric Action Recognition by Automatic Relation Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 489-507 (2023)- [j149]Ziwei Wang, Han Xiao, Yueqi Duan, Jie Zhou, Jiwen Lu:
Learning Deep Binary Descriptors via Bitwise Interaction Mining. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1919-1933 (2023) - [j148]Yongming Rao, Jiwen Lu, Jie Zhou:
PointGLR: Unsupervised Structural Representation Learning of 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2193-2207 (2023) - [j147]Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Dalong Du, Jiwen Lu, Jie Zhou:
WebFace260M: A Benchmark for Million-Scale Deep Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2627-2644 (2023) - [j146]Sichao Huang, Ziwei Wang, Jie Zhou, Jiwen Lu:
Planning Irregular Object Packing via Hierarchical Reinforcement Learning. IEEE Robotics Autom. Lett. 8(1): 81-88 (2023) - [j145]Yongjie Duan, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Estimating Fingerprint Pose via Dense Voting. IEEE Trans. Inf. Forensics Secur. 18: 2493-2507 (2023) - [i116]Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu:
DiffTalk: Crafting Diffusion Models for Generalized Talking Head Synthesis. CoRR abs/2301.03786 (2023) - [i115]Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou:
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers. CoRR abs/2301.04545 (2023) - [i114]Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu:
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models. CoRR abs/2302.04867 (2023) - [i113]Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, Jiwen Lu:
Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction. CoRR abs/2302.07817 (2023) - [i112]Zhenyu Wu, Ziwei Wang, Jiwen Lu, Haibin Yan:
Category-level Shape Estimation for Densely Cluttered Objects. CoRR abs/2302.11983 (2023) - [i111]Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu:
Unleashing Text-to-Image Diffusion Models for Visual Perception. CoRR abs/2303.02153 (2023) - [i110]Xiaofeng Wang, Zheng Zhu, Wenbo Xu, Yunpeng Zhang, Yi Wei, Xu Chi, Yun Ye, Dalong Du, Jiwen Lu, Xingang Wang:
OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception. CoRR abs/2303.03991 (2023) - [i109]Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving. CoRR abs/2303.09551 (2023) - [i108]Xiaoke Huang, Yiji Cheng, Yansong Tang, Xiu Li, Jie Zhou, Jiwen Lu:
Efficient Meshy Neural Fields for Animatable Human Avatars. CoRR abs/2303.12965 (2023) - [i107]Xiuwei Xu, Ziwei Wang, Jie Zhou, Jiwen Lu:
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis. CoRR abs/2303.15493 (2023) - [i106]Hui Li, Tianyang Xu, Xiao-Jun Wu, Jiwen Lu, Josef Kittler:
LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images. CoRR abs/2304.05172 (2023) - [i105]Ziwei Wang, Jiwen Lu, Han Xiao, Shengyu Liu, Jie Zhou:
Learning Accurate Performance Predictors for Ultrafast Automated Model Compression. CoRR abs/2304.06393 (2023) - [i104]Yuejian Wu, Linqing Zhao, Jiwen Lu, Haibin Yan:
Dense Hybrid Proposal Modulation for Lane Detection. CoRR abs/2304.14874 (2023) - [i103]Xiuwei Xu, Zhihao Sun, Ziwei Wang, Hongmin Liu, Jie Zhou, Jiwen Lu:
DSPDet3D: Dynamic Spatial Pruning for 3D Small Object Detection. CoRR abs/2305.03716 (2023) - [i102]Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu:
Towards Accurate Data-free Quantization for Diffusion Models. CoRR abs/2305.18723 (2023) - 2022
- [j144]Ziwei Wang, Jiwen Lu, Ziyi Wu, Jie Zhou:
Learning Efficient Binarized Object Detectors With Information Compression. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3082-3095 (2022) - [j143]Kun Song, Junwei Han, Gong Cheng, Jiwen Lu, Feiping Nie:
Adaptive Neighborhood Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4591-4604 (2022) - [j142]Cheng Ma, Yongming Rao, Jiwen Lu, Jie Zhou:
Structure-Preserving Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7898-7911 (2022) - [j141]Wencheng Zhu, Jiwen Lu, Yucheng Han, Jie Zhou:
Learning multiscale hierarchical attention for video summarization. Pattern Recognit. 122: 108312 (2022) - [j140]Wencheng Zhu, Jiahao Li, Jiwen Lu, Jie Zhou:
Separable Structure Modeling for Semi-Supervised Video Object Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32(1): 330-344 (2022) - [j139]Shuyan Li, Xiu Li, Jiwen Lu, Jie Zhou:
Structure-Adaptive Neighborhood Preserving Hashing for Scalable Video Search. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2441-2454 (2022) - [j138]Yi Wei, Hengkai Guo, Jiwen Lu, Jie Zhou:
Iterative Feature Matching for Self-Supervised Indoor Depth Estimation. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3839-3852 (2022) - [j137]Muheng Li, Lei Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Order-Constrained Representation Learning for Instructional Video Prediction. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5438-5452 (2022) - [j136]Lei Chen, Jiwen Lu, Zhanjie Song, Jie Zhou:
Ambiguousness-Aware State Evolution for Action Prediction. IEEE Trans. Circuits Syst. Video Technol. 32(9): 6058-6072 (2022) - [j135]Cheng Ma, Haowen Sun, Yongming Rao, Jie Zhou, Jiwen Lu:
Video Saliency Forecasting Transformer. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6850-6862 (2022) - [j134]Bingyao Yu, Jiwen Lu, Xiu Li, Jie Zhou:
Salience-Aware Face Presentation Attack Detection via Deep Reinforcement Learning. IEEE Trans. Inf. Forensics Secur. 17: 413-427 (2022) - [j133]Shan Gu, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Latent Fingerprint Indexing: Robust Representation and Adaptive Candidate List. IEEE Trans. Inf. Forensics Secur. 17: 908-923 (2022) - [j132]Wencheng Zhu, Yucheng Han, Jiwen Lu, Jie Zhou:
Relational Reasoning Over Spatial-Temporal Graphs for Video Summarization. IEEE Trans. Image Process. 31: 3017-3031 (2022) - [j131]Jinglin Xu, Guangyi Chen, Nuoxing Zhou, Wei-Shi Zheng, Jiwen Lu:
Probabilistic Temporal Modeling for Unintentional Action Localization. IEEE Trans. Image Process. 31: 3081-3094 (2022) - [j130]Jinglin Xu, Guangyi Chen, Jiwen Lu, Jie Zhou:
Unintentional Action Localization via Counterfactual Examples. IEEE Trans. Image Process. 31: 3281-3294 (2022) - [j129]Cheng Ma, Peiqi Yu, Jiwen Lu, Jie Zhou:
Recovering Realistic Details for Magnification-Arbitrary Image Super-Resolution. IEEE Trans. Image Process. 31: 3669-3683 (2022) - [j128]Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi, Jianjiang Feng, Jie Zhou:
MetaAge: Meta-Learning Personalized Age Estimators. IEEE Trans. Image Process. 31: 4761-4775 (2022) - [j127]An Tao, Yueqi Duan, Yi Wei, Jiwen Lu, Jie Zhou:
SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation. IEEE Trans. Image Process. 31: 4952-4965 (2022) - [j126]Yu Zheng, Xiuwei Xu, Jie Zhou, Jiwen Lu:
PointRas: Uncertainty-Aware Multi-Resolution Learning for Point Cloud Segmentation. IEEE Trans. Image Process. 31: 6002-6016 (2022) - [j125]Wenliang Zhao, Yongming Rao, Yansong Tang, Jie Zhou, Jiwen Lu:
VideoABC: A Real-World Video Dataset for Abductive Visual Reasoning. IEEE Trans. Image Process. 31: 6048-6061 (2022) - [j124]Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao:
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 41(3): 608-620 (2022) - [j123]Yansong Tang, Xingyu Liu, Xumin Yu, Danyang Zhang, Jiwen Lu, Jie Zhou:
Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 46:1-46:24 (2022) - [c211]Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, Jie Zhou:
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation. CoRL 2022: 539-549 - [c210]Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Dalong Du, Jie Zhou, Jiwen Lu:
Dimension Embeddings for Monocular 3D Object Detection. CVPR 2022: 1579-1588 - [c209]Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu:
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. CVPR 2022: 2939-2948 - [c208]Yu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, Qi Tian:
HyperDet3D: Learning a Scene-conditioned 3D Object Detector. CVPR 2022: 5575-5584 - [c207]Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Attributable Visual Similarity Learning. CVPR 2022: 7522-7531 - [c206]Xiuwei Xu, Yifan Wang, Yu Zheng, Yongming Rao, Jie Zhou, Jiwen Lu:
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement. CVPR 2022: 8428-8437 - [c205]Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu:
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation. CVPR 2022: 11809-11819 - [c204]Han Xiao, Ziwei Wang, Zheng Zhu, Jie Zhou, Jiwen Lu:
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search. CVPR 2022: 11882-11891 - [c203]Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu:
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. CVPR 2022: 17092-17101 - [c202]Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu:
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. CVPR 2022: 18061-18070 - [c201]Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu:
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. CVPR 2022: 19291-19300 - [c200]Muheng Li, Lei Chen, Yueqi Duan, Zhilan Hu, Jianjiang Feng, Jie Zhou, Jiwen Lu:
Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos. CVPR 2022: 19848-19857 - [c199]Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, Tie-Jun Huang:
Spike Transformer: Monocular Depth Estimation for Spiking Camera. ECCV (7) 2022: 34-52 - [c198]Yongming Rao, Wenliang Zhao, Jie Zhou, Jiwen Lu:
AMixer: Adaptive Weight Mixing for Self-attention Free Vision Transformers. ECCV (21) 2022: 50-67 - [c197]Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, Jiwen Lu:
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection. ECCV (39) 2022: 179-195 - [c196]Wenzhao Zheng, Yuan Huang, Borui Zhang, Jie Zhou, Jiwen Lu:
Dynamic Metric Learning with Cross-Level Concept Distillation. ECCV (24) 2022: 197-213 - [c195]Cheng Ma, Jingyi Zhang, Jie Zhou, Jiwen Lu:
Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution. ECCV (17) 2022: 305-321 - [c194]Quan Zheng, ZiWei Wang, Jie Zhou, Jiwen Lu:
Shap-CAM: Visual Explanations for Convolutional Neural Networks Based on Shapley Value. ECCV (12) 2022: 459-474 - [c193]Wanhua Li, Zhexuan Cao, Jianjiang Feng, Jie Zhou, Jiwen Lu:
Label2Label: A Language Modeling Framework for Multi-attribute Learning. ECCV (12) 2022: 562-579 - [c192]Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou, Jiwen Lu:
Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis. ECCV (12) 2022: 666-682 - [c191]Lei Chen, Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu:
Uncertainty-Aware Representation Learning for Action Segmentation. IJCAI 2022: 820-826 - [c190]Zhan Liu, Ziwei Wang, Sichao Huang, Jie Zhou, Jiwen Lu:
GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter. IROS 2022: 1388-1395 - [c189]Yongjie Duan, Ke He, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Estimating 3D Finger Pose via 2D-3D Fingerprint Matching. IUI 2022: 459-469 - [c188]Wanhua Li, Xiaoke Huang, Zheng Zhu, Yansong Tang, Xiu Li, Jie Zhou, Jiwen Lu:
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression. NeurIPS 2022 - [c187]Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser-Nam Lim, Jiwen Lu:
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions. NeurIPS 2022 - [c186]Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting. NeurIPS 2022 - [i101]Kun Song, Junwei Han, Gong Cheng, Jiwen Lu, Feiping Nie:
Adaptive neighborhood Metric learning. CoRR abs/2201.08314 (2022) - [i100]Mantang Guo, Jing Jin, Hui Liu, Junhui Hou, Huanqiang Zeng, Jiwen Lu:
Content-aware Warping for View Synthesis. CoRR abs/2201.09023 (2022) - [i99]Xiuwei Xu, Yifan Wang, Yu Zheng, Yongming Rao, Jie Zhou, Jiwen Lu:
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement. CoRR abs/2203.05238 (2022) - [i98]Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu:
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. CoRR abs/2203.13777 (2022) - [i97]Muheng Li, Lei Chen, Yueqi Duan, Zhilan Hu, Jianjiang Feng, Jie Zhou, Jiwen Lu:
Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos. CoRR abs/2203.14104 (2022) - [i96]Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Attributable Visual Similarity Learning. CoRR abs/2203.14932 (2022) - [i95]Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, Jiwen Lu:
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection. CoRR abs/2203.14956 (2022) - [i94]Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, Jie Zhou:
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation. CoRR abs/2204.03636 (2022) - [i93]Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu:
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. CoRR abs/2204.03646 (2022) - [i92]Yu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, Qi Tian:
HyperDet3D: Learning a Scene-conditioned 3D Object Detector. CoRR abs/2204.05599 (2022) - [i91]Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Dalong Du, Jiwen Lu, Jie Zhou:
WebFace260M: A Benchmark for Million-Scale Deep Face Recognition. CoRR abs/2204.10149 (2022) - [i90]Zheng Zhu, Xianda Guo, Tian Yang, Junjie Huang, Jiankang Deng, Guan Huang, Dalong Du, Jiwen Lu, Jie Zhou:
Gait Recognition in the Wild: A Benchmark. CoRR abs/2205.02692 (2022) - [i89]Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
Introspective Deep Metric Learning. CoRR abs/2205.04449 (2022) - [i88]Yunpeng Zhang, Zheng Zhu, Wenzhao Zheng, Junjie Huang, Guan Huang, Jie Zhou, Jiwen Lu:
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving. CoRR abs/2205.09743 (2022) - [i87]Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu:
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation. CoRR abs/2205.13490 (2022) - [i86]Wanhua Li, Xiaoke Huang, Zheng Zhu, Yansong Tang, Xiu Li, Jiwen Lu, Jie Zhou:
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression. CoRR abs/2206.02338 (2022) - [i85]Han Xiao, Ziwei Wang, Zheng Zhu, Jie Zhou, Jiwen Lu:
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search. CoRR abs/2206.09811 (2022) - [i84]Yongming Rao, Zuyan Liu, Wenliang Zhao, Jie Zhou, Jiwen Lu:
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks. CoRR abs/2207.01580 (2022) - [i83]Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi, Jianjiang Feng, Jie Zhou:
MetaAge: Meta-Learning Personalized Age Estimators. CoRR abs/2207.05288 (2022) - [i82]Yansong Tang, Xingyu Liu, Xumin Yu, Danyang Zhang, Jiwen Lu, Jie Zhou:
Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition. CoRR abs/2207.08095 (2022) - [i81]Wanhua Li, Zhexuan Cao, Jianjiang Feng, Jie Zhou, Jiwen Lu:
Label2Label: A Language Modeling Framework for Multi-Attribute Learning. CoRR abs/2207.08677 (2022) - [i80]Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou, Jiwen Lu:
Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis. CoRR abs/2207.11770 (2022) - [i79]Zhan Liu, Ziwei Wang, Sichao Huang, Jie Zhou, Jiwen Lu:
GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter. CoRR abs/2207.11941 (2022) - [i78]Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser-Nam Lim, Jiwen Lu:
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions. CoRR abs/2207.14284 (2022) - [i77]Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting. CoRR abs/2208.02812 (2022) - [i76]Quan Zheng, Ziwei Wang, Jie Zhou, Jiwen Lu:
Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value. CoRR abs/2208.03608 (2022) - [i75]Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu:
A Simple Baseline for Multi-Camera 3D Object Detection. CoRR abs/2208.10035 (2022) - [i74]Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions. CoRR abs/2210.05557 (2022) - [i73]Han Xiao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
Token-Label Alignment for Vision Transformers. CoRR abs/2210.06455 (2022) - [i72]An Tao, Yueqi Duan, Yingqi Wang, Jiwen Lu, Jie Zhou:
Dynamics-aware Adversarial Attack of Adaptive Neural Networks. CoRR abs/2210.08159 (2022) - [i71]Chengkun Wang, Wenzhao Zheng, Xian Sun, Jiwen Lu, Jie Zhou:
Probabilistic Deep Metric Learning for Hyperspectral Image Classification. CoRR abs/2211.08349 (2022) - [i70]Sichao Huang, Ziwei Wang, Jie Zhou, Jiwen Lu:
Planning Irregular Object Packing via Hierarchical Reinforcement Learning. CoRR abs/2211.09382 (2022) - [i69]Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Jiwen Lu, Jie Zhou, Shiji Song, Gao Huang:
Cross-Modal Adapter for Text-Video Retrieval. CoRR abs/2211.09623 (2022) - [i68]Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu:
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion. CoRR abs/2212.03293 (2022) - [i67]Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, Xiu Li:
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction. CoRR abs/2212.04638 (2022) - [i66]Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint. CoRR abs/2212.09062 (2022) - 2021
- [j122]Lei He, Jiwen Lu, Guanghui Wang, Shiyu Song, Jie Zhou:
SOSD-Net: Joint semantic object segmentation and depth estimation from monocular images. Neurocomputing 440: 251-263 (2021) - [j121]Yansong Tang, Jiwen Lu, Jie Zhou:
Comprehensive Instructional Video Analysis: The COIN Dataset and Performance Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3138-3153 (2021) - [j120]Wenzhao Zheng, Jiwen Lu, Jie Zhou:
Hardness-Aware Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3214-3228 (2021) - [j119]Ziwei Wang, Jiwen Lu, Jie Zhou:
Learning Channel-Wise Interactions for Binary Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3432-3445 (2021) - [j118]Lei Chen, Jiwen Lu, Zhanjie Song, Jie Zhou:
Recurrent Semantic Preserving Generation for Action Prediction. IEEE Trans. Circuits Syst. Video Technol. 31(1): 231-245 (2021) - [j117]Shan Gu, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Latent Fingerprint Registration via Matching Densely Sampled Points. IEEE Trans. Inf. Forensics Secur. 16: 1231-1244 (2021) - [j116]Qihao Yin, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Joint Estimation of Pose and Singular Points of Fingerprints. IEEE Trans. Inf. Forensics Secur. 16: 1467-1479 (2021) - [j115]Jiwen Lu, Venice Erin Liong, Yap-Peng Tan:
Adversarial Multi-Label Variational Hashing. IEEE Trans. Image Process. 30: 332-344 (2021) - [j114]Wencheng Zhu, Jiwen Lu, Jiahao Li, Jie Zhou:
DSNet: A Flexible Detect-to-Summarize Network for Video Summarization. IEEE Trans. Image Process. 30: 948-962 (2021) - [j113]Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi, Jianjiang Feng, Jie Zhou:
Reasoning Graph Networks for Kinship Verification: From Star-Shaped to Hierarchical. IEEE Trans. Image Process. 30: 4947-4961 (2021) - [j112]Chunze Lin, Beier Zhu, Quan Wang, Renjie Liao, Chen Qian, Jiwen Lu, Jie Zhou:
Structure-Coherent Deep Feature Learning for Robust Face Alignment. IEEE Trans. Image Process. 30: 5313-5326 (2021) - [j111]