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2020 – today
- 2024
[j164]Tao Pu
, Tianshui Chen, Hefeng Wu, Yukai Shi, Zhijing Yang, Liang Lin:
Dual-perspective semantic-aware representation blending for multi-label image recognition with partial labels. Expert Syst. Appl. 249: 123526 (2024)- [j163]Xiaoyu Xian, Dan Liu, Daxin Tian, Yin Tian, Wei Jiang, Yukai Shi, Liang Lin:
An advanced subway train localization system using a vision-based kilometer marker recognition-assisted multi-sensor fusion method. Int. J. Gen. Syst. 53(5): 622-650 (2024) - [j162]Yingpeng Wen, Zhilin Qiu, Dongyu Zhang, Dan Huang, Nong Xiao, Liang Lin:
Accelerating Massively Distributed Deep Learning Through Efficient Pseudo-Synchronous Update Method. Int. J. Parallel Program. 52(3): 125-146 (2024) - [j161]Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin:
DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2722-2740 (2024) - [j160]Yupei Lin, Xiaoyu Xian, Yukai Shi, Liang Lin:
MirrorDiffusion: Stabilizing Diffusion Process in Zero-Shot Image Translation by Prompts Redescription and Beyond. IEEE Signal Process. Lett. 31: 306-310 (2024) - [j159]Jinghui Qin, Zhongzhan Huang, Ying Zeng, Quanshi Zhang, Liang Lin:
An Introspective Data Augmentation Method for Training Math Word Problem Solvers. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3113-3127 (2024) - [j158]Wenwei Song, Wenxiong Kang, Liang Lin:
Hand Gesture Authentication by Discovering Fine-Grained Spatiotemporal Identity Characteristics. IEEE Trans. Circuits Syst. Video Technol. 34(1): 461-474 (2024) - [j157]Hefeng Wu, Weifeng Chen, Zhibin Liu, Tianshui Chen, Zhiguang Chen, Liang Lin:
Contrastive Transformer Learning With Proximity Data Generation for Text-Based Person Search. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7005-7016 (2024) - [j156]Yahao Lu, Yupei Lin, Han Wu, Xiaoyu Xian, Yukai Shi, Liang Lin:
SIRST-5K: Exploring Massive Negatives Synthesis With Self-Supervised Learning for Robust Infrared Small Target Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j155]Yukai Shi, Yupei Lin, Pengxu Wei, Xiaoyu Xian, Tianshui Chen, Liang Lin:
Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j154]Meilin Wang, Yexing Song, Pengxu Wei, Xiaoyu Xian, Yukai Shi, Liang Lin:
IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j153]Tao Pu, Tianshui Chen, Hefeng Wu, Yongyi Lu, Liang Lin:
Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation. IEEE Trans. Image Process. 33: 556-568 (2024) - [j152]Xipeng Chen, Junzheng Zhang, Keze Wang, Pengxu Wei, Liang Lin:
Multi-Person 3D Pose Estimation With Occlusion Reasoning. IEEE Trans. Multim. 26: 878-889 (2024) - [j151]Yuefang Gao, Yuhao Xie, Zeke Zexi Hu, Tianshui Chen, Liang Lin:
Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition. IEEE Trans. Multim. 26: 6676-6688 (2024) - [j150]Junpeng Tan, Xiaojun Yang, Zhijing Yang, Ruihan Chen, Yongyi Lu, Liang Lin:
Extensible Max-Min Collaborative Retention for Online Mini-Batch Learning Hash Retrieval. IEEE Trans. Multim. 26: 6743-6758 (2024) - [j149]Ronghui Zhang, Jiongze Yu, Junzhou Chen, Guofa Li, Liang Lin, Danwei Wang:
A Prior Guided Wavelet-Spatial Dual Attention Transformer Framework for Heavy Rain Image Restoration. IEEE Trans. Multim. 26: 7043-7057 (2024) - [j148]Cidan Shi, Lihuang Fang, Han Wu, Xiaoyu Xian, Yukai Shi, Liang Lin:
NiteDR: Nighttime Image De-Raining With Cross-View Sensor Cooperative Learning for Dynamic Driving Scenes. IEEE Trans. Multim. 26: 9203-9215 (2024) - [j147]Shuai Lin, Chen Liu, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang:
Prototypical Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2747-2758 (2024) - [j146]Jinghui Qin, Zhicheng Yang, Jiaqi Chen, Xiaodan Liang, Liang Lin:
Template-Based Contrastive Distillation Pretraining for Math Word Problem Solving. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12823-12835 (2024) - [j145]Haofeng Li, Tian Tan, Yue Li, Jie Lu, Haining Meng, Liqing Cao, Yongheng Huang, Lian Li, Lin Gao, Peng Di, Liang Lin, ChenXi Cui:
Generic Sensitivity: Generics-Guided Context Sensitivity for Pointer Analysis. IEEE Trans. Software Eng. 50(5): 1144-1162 (2024) - [c251]Junyi Chen, Longteng Guo, Jia Sun, Shuai Shao, Zehuan Yuan, Liang Lin, Dongyu Zhang:
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE. AAAI 2024: 1110-1119 - [c250]Yongsen Zheng, Ziliang Chen, Jinghui Qin, Liang Lin:
FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System. AAAI 2024: 9405-9413 - [c249]Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin:
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach. AAAI 2024: 11471-11479 - [c248]Yongsen Zheng, Ruilin Xu, Ziliang Chen, Guohua Wang, Mingjie Qian, Jinghui Qin, Liang Lin:
HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation. ACL (1) 2024: 2526-2537 - [c247]Qingxing Cao, Junhao Cheng, Xiaodan Liang, Liang Lin:
VisDiaHalBench: A Visual Dialogue Benchmark For Diagnosing Hallucination in Large Vision-Language Models. ACL (1) 2024: 12161-12176 - [c246]Jingyu Zhuang, Kuo Wang, Liang Lin, Guanbin Li:
Credible Teacher for Semi-Supervised Object Detection in Open Scene. ICASSP 2024: 5135-5139 - [c245]Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, Liang Lin:
AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios. ICML 2024 - [c244]Junrong Lian, Ziyue Dong, Pengxu Wei, Wei Ke, Chang Liu, Qixiang Ye, Xiangyang Ji, Liang Lin:
Kepler codebook. ICML 2024 - [c243]Wei Li, Jiachi Zhang, Ye Yin, Yan Li, Zhanyang Zhu, Wenchao Zhou, Liang Lin, Feifei Li:
Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB. SIGMOD Conference Companion 2024: 255-268 - [c242]Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin:
Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima. WWW 2024: 3700-3711 - [i277]Jingyu Zhuang, Kuo Wang, Liang Lin, Guanbin Li:
Credible Teacher for Semi-Supervised Object Detection in Open Scene. CoRR abs/2401.00695 (2024) - [i276]Yupei Lin, Xiaoyu Xian, Yukai Shi, Liang Lin:
MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond. CoRR abs/2401.03221 (2024) - [i275]Hefeng Wu, Guangzhi Ye, Ziyang Zhou, Ling Tian, Qing Wang, Liang Lin:
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition. CoRR abs/2401.07061 (2024) - [i274]Yuefang Gao, Yuhao Xie, Zeke Zexi Hu, Tianshui Chen, Liang Lin:
Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition. CoRR abs/2401.11085 (2024) - [i273]Jingyu Zhuang, Di Kang, Yan-Pei Cao, Guanbin Li, Liang Lin, Ying Shan:
TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts. CoRR abs/2401.14828 (2024) - [i272]Yang Liu, Xinshuai Song, Kaixuan Jiang, Weixing Chen, Jingzhou Luo, Guanbin Li, Liang Lin:
Multimodal Embodied Interactive Agent for Cafe Scene. CoRR abs/2402.00290 (2024) - [i271]Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin:
Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima. CoRR abs/2402.11262 (2024) - [i270]Tao Tang, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang:
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis. CoRR abs/2402.17483 (2024) - [i269]Cidan Shi, Lihuang Fang, Han Wu, Xiaoyu Xian, Yukai Shi, Liang Lin:
NiteDR: Nighttime Image De-Raining with Cross-View Sensor Cooperative Learning for Dynamic Driving Scenes. CoRR abs/2402.18172 (2024) - [i268]Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin:
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions. CoRR abs/2403.01326 (2024) - [i267]Yahao Lu, Yupei Lin, Han Wu, Xiaoyu Xian, Yukai Shi, Liang Lin:
SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detection. CoRR abs/2403.05416 (2024) - [i266]Bingqian Lin, Yanxin Long, Yi Zhu, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Liang Lin:
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning. CoRR abs/2403.05770 (2024) - [i265]Meilin Wang, Yexing Song, Pengxu Wei, Xiaoyu Xian, Yukai Shi, Liang Lin:
IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing Images. CoRR abs/2403.11870 (2024) - [i264]Yuanfeng Xu, Yuhao Chen, Zhongzhan Huang, Zijian He, Guangrun Wang, Philip Torr, Liang Lin:
AnimateZoo: Zero-shot Video Generation of Cross-Species Animation via Subject Alignment. CoRR abs/2404.04946 (2024) - [i263]Yiming Liu, Kezhao Liu, Yao Xiao, Ziyi Dong, Xiaogang Xu, Pengxu Wei, Liang Lin:
Towards Better Adversarial Purification via Adversarial Denoising Diffusion Training. CoRR abs/2404.14309 (2024) - [i262]Weifeng Chen, Jiacheng Zhang, Jie Wu, Hefeng Wu, Xuefeng Xiao, Liang Lin:
ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback Learning. CoRR abs/2404.15449 (2024) - [i261]Yang Liu, Binglin Chen, Yongsen Zheng, Guanbin Li, Liang Lin:
Fine-grained Spatial-temporal MLP Architecture for Metro Origin-Destination Prediction. CoRR abs/2404.15734 (2024) - [i260]Junpeng Zhang, Qing Li, Liang Lin, Quanshi Zhang:
Two-Phase Dynamics of Interactions Explains the Starting Point of a DNN Learning Over-Fitted Features. CoRR abs/2405.10262 (2024) - [i259]Siyu Lou, Yuntian Chen, Xiaodan Liang, Liang Lin, Quanshi Zhang:
Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs. CoRR abs/2405.11880 (2024) - [i258]Jiaming Li, Jiacheng Zhang, Jichang Li, Ge Li, Si Liu, Liang Lin, Guanbin Li:
Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection. CoRR abs/2406.00510 (2024) - [i257]Yukai Shi, Yupei Lin, Pengxu Wei, Xiaoyu Xian, Tianshui Chen, Liang Lin:
Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior. CoRR abs/2406.00632 (2024) - [i256]Gexin Huang, Chenfei Wu, Mingjie Li, Xiaojun Chang, Ling Chen, Ying Sun, Shen Zhao, Xiaodan Liang, Liang Lin:
Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification. CoRR abs/2406.02990 (2024) - [i255]Tianshui Chen, Weihang Wang, Tao Pu, Jinghui Qin, Zhijing Yang, Jie Liu, Liang Lin:
Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration. CoRR abs/2407.06844 (2024) - [i254]Yang Liu, Weixing Chen, Yongjie Bai, Guanbin Li, Wen Gao, Liang Lin:
Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI. CoRR abs/2407.06886 (2024) - [i253]Ming-Liang Zhang, Zhong-Zhi Li, Fei Yin, Liang Lin, Cheng-Lin Liu:
Fuse, Reason and Verify: Geometry Problem Solving with Parsed Clauses from Diagram. CoRR abs/2407.07327 (2024) - [i252]Zijian He, Peixin Chen, Guangrun Wang, Guanbin Li, Philip H. S. Torr, Liang Lin:
WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models. CoRR abs/2407.10625 (2024) - [i251]Yukai Shi, Zhipeng Weng, Yupei Lin, Cidan Shi, Xiaojun Yang, Liang Lin:
CrossDehaze: Scaling Up Image Dehazing with Cross-Data Vision Alignment and Augmentation. CoRR abs/2407.14823 (2024) - [i250]Kuo Wang, Lechao Cheng, Weikai Chen, Pingping Zhang, Liang Lin, Fan Zhou, Guanbin Li:
MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection. CoRR abs/2407.21465 (2024) - [i249]Junbin Xiao, Nanxin Huang, Hangyu Qin, Dongyang Li, Yicong Li, Fengbin Zhu, Zhulin Tao, Jianxing Yu, Liang Lin, Tat-Seng Chua, Angela Yao:
VideoQA in the Era of LLMs: An Empirical Study. CoRR abs/2408.04223 (2024) - [i248]Hefeng Wu, Hao Jiang, Keze Wang, Ziyi Tang, Xianghuan He, Liang Lin:
Improving Network Interpretability via Explanation Consistency Evaluation. CoRR abs/2408.04600 (2024) - 2023
- [j144]Ke Tang, Lan Cheng, Xiao Wang, Chenqiang Pan, Liang Lin, Li Dong, Bo Li:
Research on Digital Monitoring Technology for Airport High-Pressure Rotary Jet Piles. IEEE Access 11: 112731-112752 (2023) - [j143]Zhaohuan Zhan, Liang Lin, Guang Tan:
Object-aware navigation for remote embodied visual referring expression. Neurocomputing 515: 68-78 (2023) - [j142]Tao Pu, Mingzhan Sun, Hefeng Wu, Tianshui Chen, Ling Tian, Liang Lin:
Semantic representation and dependency learning for multi-label image recognition. Neurocomputing 526: 121-130 (2023) - [j141]Kuo Wang, Lingbo Liu, Yang Liu, Guanbin Li, Fan Zhou, Liang Lin:
Urban regional function guided traffic flow prediction. Inf. Sci. 634: 308-320 (2023) - [j140]Jinghui Qin, Lihuang Fang, Ruitao Lu, Liang Lin, Yukai Shi:
ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data Fusion. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j139]Lin Nie, Junfan Lin, Wenxiong Kang, Yukai Shi, Liang Lin:
Learning image blind denoisers without explicit noise modeling. Multim. Tools Appl. 82(18): 27839-27859 (2023) - [j138]Lingbo Liu, Yuying Zhu, Guanbin Li, Ziyi Wu, Lei Bai, Liang Lin:
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3574-3589 (2023) - [j137]Yiming Gao, Zhanghui Kuang, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang:
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7019-7034 (2023) - [j136]Changxin Huang, Guangrun Wang, Zhibo Zhou, Ronghui Zhang, Liang Lin:
Reward-Adaptive Reinforcement Learning: Dynamic Policy Gradient Optimization for Bipedal Locomotion. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7686-7695 (2023) - [j135]Yang Liu, Guanbin Li, Liang Lin:
Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11624-11641 (2023) - [j134]Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang:
Discourse-Aware Graph Networks for Textual Logical Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11668-11688 (2023) - [j133]Bingqian Lin, Yanxin Long, Yi Zhu, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Liang Lin:
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12535-12549 (2023) - [j132]Junfan Lin, Keze Wang, Ziliang Chen, Xiaodan Liang, Liang Lin:
Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13363-13375 (2023) - [j131]Liang Lin, Yuhan Li, Bin Wu, Huijun Mai, Renjie Lou, Jian Tan, Feifei Li:
Anser: Adaptive Information Sharing Framework of AnalyticDB. Proc. VLDB Endow. 16(12): 3636-3648 (2023) - [j130]Junying Huang, Junhao Cao, Liang Lin, Dongyu Zhang:
IRA-FSOD: Instant-Response and Accurate Few-Shot Object Detector. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6912-6923 (2023) - [j129]Yuying Zhu, Yang Zhang, Lingbo Liu, Yang Liu, Guanbin Li, Mingzhi Mao, Liang Lin:
Hybrid-Order Representation Learning for Electricity Theft Detection. IEEE Trans. Ind. Informatics 19(2): 1248-1259 (2023) - [j128]Pengxu Wei, Ziwei Xie, Guanbin Li, Liang Lin:
Taylor Neural Network for Real-World Image Super-Resolution. IEEE Trans. Image Process. 32: 1942-1951 (2023) - [j127]Yongsen Zheng, Pengxu Wei, Ziliang Chen, Yang Cao, Liang Lin:
Graph-Convolved Factorization Machines for Personalized Recommendation. IEEE Trans. Knowl. Data Eng. 35(2): 1567-1580 (2023) - [j126]Zhijing Yang, Junyang Chen, Yukai Shi, Hao Li, Tianshui Chen, Liang Lin:
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup. IEEE Trans. Multim. 25: 1477-1488 (2023) - [j125]Si Liu, Renda Bao, Defa Zhu, Shaofei Huang, Qiong Yan, Liang Lin, Chao Dong:
Fine-Grained Face Editing via Personalized Spatial-Aware Affine Modulation. IEEE Trans. Multim. 25: 4213-4224 (2023) - [j124]Hao Li, Jinghui Qin, Zhijing Yang, Pengxu Wei, Jinshan Pan, Liang Lin, Yukai Shi:
Real-World Image Super-Resolution by Exclusionary Dual-Learning. IEEE Trans. Multim. 25: 4752-4763 (2023) - [j123]Ziyi Tang, Ruimao Zhang, Zhanglin Peng, Jinrui Chen, Liang Lin:
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-Identification. IEEE Trans. Multim. 25: 7917-7929 (2023) - [j122]Lingbo Liu, Zewei Yang, Guanbin Li, Kuo Wang, Tianshui Chen, Liang Lin:
Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3308-3322 (2023) - [c241]Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu:
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation. AAAI 2023: 1568-1576 - [c240]Yuxiang Nie, Chaowei Fang, Lechao Cheng, Liang Lin, Guanbin Li:
Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection. AAAI 2023: 1966-1974 - [c239]Kuo Wang, Jingyu Zhuang, Guanbin Li, Chaowei Fang, Lechao Cheng, Liang Lin, Fan Zhou:
De-biased Teacher: Rethinking IoU Matching for Semi-supervised Object Detection. AAAI 2023: 2573-2580 - [c238]Yang Wu, Pengxu Wei, Liang Lin:
Scene Graph to Image Synthesis via Knowledge Consensus. AAAI 2023: 2856-2865 - [c237]Weizhi Zhong, Chaowei Fang, Yinqi Cai, Pengxu Wei, Gangming Zhao, Liang Lin, Guanbin Li:
Identity-Preserving Talking Face Generation with Landmark and Appearance Priors. CVPR 2023: 9729-9738 - [c236]Yao Xiao, Ziyi Tang, Pengxu Wei, Cong Liu, Liang Lin:
Masked Images Are Counterfactual Samples for Robust Fine-Tuning. CVPR 2023: 20301-20310 - [c235]Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang Wen Chen:
Being Comes from Not-Being: Open-Vocabulary Text-to-Motion Generation with Wordless Training. CVPR 2023: 23222-23231 - [c234]Mingjie Qian, Yongsen Zheng, Jinghui Qin, Liang Lin:
HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System. EMNLP 2023: 10281-10290 - [c233]Jie Ma, Chuan Wang, Yang Liu, Liang Lin, Guanbin Li:
Enhanced Soft Label for Semi-Supervised Semantic Segmentation. ICCV 2023: 1185-1195 - [c232]Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin:
Understanding Self-attention Mechanism via Dynamical System Perspective. ICCV 2023: 1412-1422 - [c231]Ziyi Zhang, Weikai Chen, Chaowei Fang, Zhen Li, Lechao Chen, Liang Lin, Guanbin Li:
RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels. ICCV 2023: 1644-1654 - [c230]Hong Yan, Yang Liu, Yushen Wei, Zhen Li, Guanbin Li, Liang Lin:
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training. ICCV 2023: 5583-5595 - [c229]Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang:
Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos. ICCV 2023: 8710-8719 - [c228]Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Guanbin Li, Jie Chen, Xiangyang Ji, Liang Lin:
Towards Real-World Burst Image Super-Resolution: Benchmark and Method. ICCV 2023: 13187-13196 - [c227]Ziliang Chen, Xin Huang, Quanlong Guan, Liang Lin, Weiqi Luo:
A Retrospect to Multi-prompt Learning across Vision and Language. ICCV 2023: 22133-22144 - [c226]Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin:
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. ICCV 2023: 22612-22622 - [c225]Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang:
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment. ICCV 2023: 23097-23106 - [c224]Yang Wu, Zhibin Liu, Hefeng Wu, Liang Lin:
Multi-object Video Generation from Single Frame Layouts. ICME 2023: 2249-2254 - [c223]Yao Xiao, Pengxu Wei, Cong Liu, Liang Lin:
Adversarially Robust Source-free Domain Adaptation with Relaxed Adversarial Training. ICME 2023: 2681-2686 - [c222]Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu, Guanbin Li, Liang Lin:
DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback. IJCAI 2023: 6058-6066 - [c221]Yang Zhang, Lingbo Liu, Xinyu Xiong, Guanbin Li, Guoli Wang, Liang Lin:
Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer. IJCAI 2023: 6308-6316 - [c220]Yushen Wei, Yang Liu, Hong Yan, Guanbin Li, Liang Lin:
Visual Causal Scene Refinement for Video Question Answering. ACM Multimedia 2023: 377-386 - [c219]Shanshan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin:
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models. ACM Multimedia 2023: 567-578 - [c218]Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin:
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection. NeurIPS 2023 - [c217]Wei Yan, Ning Xiao, Pan Jiang, Hongkai Wang, Yilong Yuan, Liang Lin, Chang Liu:
Ego Lane Estimation Using Visual Information and High Definition Map. PLANS 2023: 603-608 - [c216]Pan Jiang, Wei Yan, Hongkai Wang, Yilong Yuan, Jin He, Liang Lin, Chang Liu:
A low-cost lane-level navigation algorithm based on visual information. PLANS 2023: 1380-1384 - [c215]Junzheng Zhang, Xipeng Chen, Keze Wang, Pengxu Wei, Liang Lin:
FIRE: Fine Implicit Reconstruction Enhancement with Detailed Body Part Labels and Geometric Features. PRCV (2) 2023: 54-65 - [c214]Liucun Lu, Jinghui Qin, Zequn Jie, Lin Ma, Liang Lin, Xiaodan Liang:
RecFormer: Recurrent Multi-modal Transformer with History-Aware Contrastive Learning for Visual Dialog. PRCV (1) 2023: 159-171 - [c213]