Xiang Xiang - RankMe

76 papers A* 9A 4B 3C 1Misc 1Journal 36Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AerialFusion: Co-Motion-Driven Unified Registration and Fusion on Multi-modal Data Streams from Aerial View. AAAI Junhui Qiu, Xiang Xiang, Hongyun Wang, Jiaqi Gui
2026	J	`jnl`	FeDMRA: Federated Incremental Learning with Dynamic Memory Replay Allocation. CoRR Tiantian Wang, Xiang Xiang, Simon S. Du
2026	A*	`conf`	Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability. AAAI Yao Deng, Xiang Xiang, Jiaqi Gui
2025	J	`jnl`	Aligning Logits Generatively for Principled Black-Box Knowledge Distillation in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. Xiang Xiang, Jing Ma, Dongrui Wu, Zhigang Zeng, Xi-Lin Chen
2025	J	`jnl`	Decoupled Entropy Minimization. CoRR Jing Ma, Hanlin Li, Xiang Xiang
2025	J	`jnl`	Enhanced Dual-Pattern Matching With Vision-Language Representation for Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. Xiang Xiang, Zhuo Xu, Zihan Zhang, Zhigang Zeng, Xilin Chen
2025	J	`jnl`	Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding Sample. Int. J. Comput. Vis. Zhiwen Shao, Hancheng Zhu, Yong Zhou, Xiang Xiang, Bing Liu, Rui Yao, Lizhuang Ma
2025	—	`conf`	Few-Shot Font Generation via Attribute-Guided Diffusion with Style Contrastive Learning. PRCV (6) Yan He, Xiang Xiang, Xiaofei Liao
2025	J	`jnl`	Frequency-Spatial Interaction Driven Network for Low-Light Image Enhancement. CoRR Yunhong Tao, Wenbing Tao, Xiang Xiang
2025	J	`jnl`	GroupRF: Panoptic Scene Graph Generation with group relation tokens. J. Vis. Commun. Image Represent. Hongyun Wang, Jiachen Li, Xiang Xiang, Qing Xie, Yanchun Ma, Yongjian Liu
2025	J	`jnl`	High-level LoRA and hierarchical fusion for enhanced micro-expression recognition. Vis. Comput. Zhiwen Shao, Yifan Cheng, Yong Zhou, Xiang Xiang, Jian Li, Bing Liu, Dit-Yan Yeung
2025	J	`jnl`	Hyperbolic Coarse-to-Fine Few-Shot Class-Incremental Learning. CoRR Jiaxin Dai, Xiang Xiang
2025	J	`jnl`	LOC: A General Language-Guided Framework for Open-Set 3D Occupancy Prediction. CoRR Yuhang Gao, Xiang Xiang, Sheng Zhong, Guoyou Wang
2025	A	`conf`	Learning Visual-Semantic Hierarchical Attribute Space for Interpretable Open-Set Recognition. WACV Zhuo Xu, Xiang Xiang
2025	J	`jnl`	Learning to Rewrite Prompts for Bootstrapping LLMs on Downstream Tasks. CoRR Qinhao Zhou, Xiang Xiang, Kun He, John E. Hopcroft
2025	J	`jnl`	OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing. CoRR Xiang Xiang, Zhuo Xu, Yao Deng, Qinhao Zhou, Yifan Liang, Ke Chen, Qingfang Zheng, Yaowei Wang, Xi-Lin Chen, Wen Gao
2025	J	`jnl`	OpenHAIV: A Framework Towards Practical Open-World Learning. CoRR Xiang Xiang, Qinhao Zhou, Zhuo Xu, Jing Ma, Jiaxin Dai, Yifan Liang, Hanlin Li
2025	A*	`conf`	Overcoming Shortcut Problem in VLM for Robust Out-of-Distribution Detection. CVPR Zhuo Xu, Xiang Xiang, Yifan Liang
2025	A*	`conf`	PTTA: Purifying Malicious Samples for Test-Time Model Adaptation. ICML Jing Ma, Hanlin Li, Xiang Xiang
2024	J	`jnl`	AI WALKUP: A Computer-Vision Approach to Quantifying MDS-UPDRS in Parkinson's Disease. CoRR Xiang Xiang, Zihan Zhang, Jing Ma, Yao Deng
2024	A*	`conf`	Aligning Logits Generatively for Principled Black-Box Knowledge Distillation. CVPR Jing Ma, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li
2024	A	`conf`	Cross-Domain Few-Shot Incremental Learning for Point-Cloud Recognition. WACV Yuwen Tan, Xiang Xiang
2024	J	`jnl`	Curricular-balanced long-tailed learning. Neurocomputing Xiang Xiang, Zihan Zhang, Xilin Chen
2024	J	`jnl`	Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoning. CoRR Qinhao Zhou, Zihan Zhang, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li
2024	—	`conf`	Enhancing the General Agent Capabilities of Low-Paramter LLMs through Tuning and Multi-Branch Reasoning. NAACL-HLT (Findings) Qinhao Zhou, Zihan Zhang, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li
2024	A	`conf`	Expanding Hyperspherical Space for Few-Shot Class-Incremental Learning. WACV Yao Deng, Xiang Xiang
2024	J	`jnl`	Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding Sample. CoRR Zhiwen Shao, Hancheng Zhu, Yong Zhou, Xiang Xiang, Bing Liu, Rui Yao, Lizhuang Ma
2024	—	`conf`	Masking Cascaded Self-attentions for Few-Shot Font-Generation Transformer. ACCV (5) Jing Ma, Xiang Xiang, Yan He
2024	A*	`conf`	Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer. CVPR Yuwen Tan, Qinhao Zhou, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li
2024	J	`jnl`	Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer. CoRR Yuwen Tan, Qinhao Zhou, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li
2024	—	`conf`	Stay Open: Calibrating Weights Continuously for Detecting Out-of-Distribution Objects on the Fly. PRCV (12) Xiang Xiang, Qinhao Zhou
2024	—	`conf`	Vision-Language Dual-Pattern Matching for Out-of-Distribution Detection. ECCV (85) Zihan Zhang, Zhuo Xu, Xiang Xiang
2023	—	`conf`	Boundary-Constrained Graph Network for Tooth Segmentation on 3D Dental Surfaces. MLMI@MICCAI (2) Yuwen Tan, Xiang Xiang
2023	—	`conf`	Coupling Bracket Segmentation and Tooth Surface Reconstruction on 3D Dental Models. MICCAI (6) Yuwen Tan, Xiang Xiang, Yifeng Chen, Hongyi Jing, Shiyang Ye, Chaoran Xue, Hui Xu
2023	A*	`conf`	Decoupling MaxLogit for Out-of-Distribution Detection. CVPR Zihan Zhang, Xiang Xiang
2023	J	`jnl`	Hierarchical Task-Incremental Learning with Feature-Space Initialization Inspired by Neural Collapse. Neural Process. Lett. Qinhao Zhou, Xiang Xiang, Jing Ma
2023	—	`conf`	Replaying Styles for Continual Semantic Segmentation Across Domains. ACPR (2) Yao Deng, Xiang Xiang
2023	A*	`conf`	Saliency Regularization for Self-Training with Partial Annotations. ICCV Shouwen Wang, Qian Wan, Xiang Xiang, Zhigang Zeng
2022	J	`jnl`	A Pilot Study of Relating MYCN-Gene Amplification with Neuroblastoma-Patient CT Scans. CoRR Zihan Zhang, Xiang Xiang, Xuehua Peng, Jianbo Shao
2022	—	`conf`	Bootstrapping Autonomous Lane Changes with Self-supervised Augmented Runs. ECCV Workshops (4) Xiang Xiang
2022	—	`conf`	Coarse-To-Fine Incremental Few-Shot Learning. ECCV (31) Xiang Xiang, Yuwen Tan, Qian Wan, Jing Ma, Alan L. Yuille, Gregory D. Hager
2022	—	`conf`	Hierarchical Memory Learning for Fine-Grained Scene Graph Generation. ECCV (27) Youming Deng, Yansheng Li, Yongjun Zhang, Xiang Xiang, Jian Wang, Jingdong Chen, Jiayi Ma
2022	J	`jnl`	Hierarchical Memory Learning for Fine-Grained Scene Graph Generation. CoRR Youming Deng, Yansheng Li, Yongjun Zhang, Xiang Xiang, Jian Wang, Jingdong Chen, Jiayi Ma
2022	J	`jnl`	Imbalanced regression for intensity series of pain expression from videos by regularizing spatio-temporal face nets. Pattern Recognit. Lett. Xiang Xiang, Feng Wang, Yuwen Tan, Alan L. Yuille
2022	J	`jnl`	Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition. CoRR Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo
2022	—	`conf`	Learning-Based Detection of MYCN Amplification in Clinical Neuroblastoma Patients: A Pilot Study. MMMI@MICCAI Xiang Xiang, Zihan Zhang, Xuehua Peng, Jianbo Shao
2022	J	`jnl`	Lightweight Human Pose Estimation Using Heatmap-Weighting Loss. CoRR Shiqi Li, Xiang Xiang
2022	—	`conf`	Lightweight Human Pose Estimation Using Loss Weighted by Target Heatmap. ICPR Workshops (1) Shiqi Li, Xiang Xiang
2022	J	`jnl`	Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation. CoRR Zihan Zhang, Xiang Xiang
2022	J	`jnl`	Mapping Emulation for Knowledge Distillation. CoRR Jing Ma, Xiang Xiang, Zihan Zhang, Yuwen Tan, Yiming Wan, Zhigang Zeng, Dacheng Tao
2022	J	`jnl`	Weakly Supervised Object Detection Based on Active Learning. Neural Process. Lett. Xiao Wang, Xiang Xiang, Baochang Zhang, Xuhui Liu, Jianying Zheng, Qinglei Hu
2021	J	`jnl`	Coarse-To-Fine Incremental Few-Shot Learning. CoRR Xiang Xiang, Yuwen Tan, Qian Wan, Jing Ma
2021	J	`jnl`	Entropy-based Optimization via A* Algorithm for Parking Space Recommendation. CoRR Xin Wei, Runqi Qiu, Houyu Yu, Yurun Yang, Haoyu Tian, Xiang Xiang
2020	A	`conf`	Long-Short Graph Memory Network for Skeleton-based Action Recognition. WACV Junqin Huang, Zhenhuan Huang, Xiang Xiang, Xuan Gong, Baochang Zhang
2019	—	`conf`	Beyond Deep Feature Averaging: Sampling Videos Towards Practical Facial Pain Recognition. CVPR Workshops Xiang Xiang
2018	—	`conf`	Adversarial deep structured nets for mass segmentation from mammograms. ISBI Wentao Zhu, Xiang Xiang, Trac D. Tran, Gregory D. Hager, Xiaohui Xie
2018	J	`jnl`	Linear Disentangled Representation Learning for Facial Actions. IEEE Trans. Circuits Syst. Video Technol. Xiang Xiang, Trac D. Tran
2018	B	`conf`	S3D: Stacking Segmental P3D for Action Quality Assessment. ICIP Xiang Xiang, Ye Tian, Austin Reiter, Gregory D. Hager, Trac D. Tran
2017	J	`jnl`	Adversarial Deep Structured Nets for Mass Segmentation from Mammograms. CoRR Wentao Zhu, Xiang Xiang, Trac D. Tran, Gregory D. Hager, Xiaohui Xie
2017	J	`jnl`	Linear Disentangled Representation Learning for Facial Actions. CoRR Xiang Xiang, Trac D. Tran
2017	A*	`conf`	NormFace: L ACM Multimedia Feng Wang, Xiang Xiang, Jian Cheng, Alan Loddon Yuille
2017	J	`jnl`	NormFace: L CoRR Feng Wang, Xiang Xiang, Jian Cheng, Alan L. Yuille
2017	B	`conf`	Regularizing face verification nets for pain intensity regression. ICIP Feng Wang, Xiang Xiang, Chang Liu, Trac D. Tran, Austin Reiter, Gregory D. Hager, Harry Quon, Jian Cheng, Alan L. Yuille
2017	—	`conf`	Sparse Unsupervised Clustering with Mixture Observations for Video Summarization. AIPR Xiang Xiang, Dung N. Tran, Trac D. Tran
2017	B	`conf`	Supervised hashing with jointly learning embedding and quantization. ICIP Hao Zhu, Feng Wang, Xiang Xiang, Trac D. Tran
2017	J	`jnl`	Transferring Face Verification Nets To Pain and Expression Regression. CoRR Feng Wang, Xiang Xiang, Chang Liu, Trac D. Tran, Austin Reiter, Gregory D. Hager, Harry Quon, Jian Cheng, Alan L. Yuille
2016	—	`conf`	Pose-Selective Max Pooling for Measuring Similarity. VAAM/FFER@ICPR Xiang Xiang, Trac D. Tran
2016	J	`jnl`	Pose-Selective Max Pooling for Measuring Similarity. CoRR Xiang Xiang, Trac D. Tran
2016	—	`conf`	Recursively Measured Action Units. MPRSS Xiang Xiang, Trac D. Tran
2015	Misc	`conf`	Hierarchical Sparse and Collaborative Low-Rank representation for emotion recognition. ICASSP Xiang Xiang, Minh Dao, Gregory D. Hager, Trac D. Tran
2014	J	`jnl`	Hierarchical Sparse and Collaborative Low-Rank Representation for Emotion Recognition. CoRR Xiang Xiang, Minh Dao, Gregory D. Hager, Trac D. Tran
2014	—	`conf`	Is Multi-model Feature Matching Better for Endoscopic Motion Estimation? CARE@MICCAI Xiang Xiang, Daniel Mirota, Austin Reiter, Gregory D. Hager
2012	—	`conf`	Online Web-Data-Driven Segmentation of Selected Moving Objects in Videos. ACCV (2) Xiang Xiang, Hong Chang, Jiebo Luo
2011	—	`conf`	A Localization Framework under Non-rigid Deformation for Robotic Surgery. ISVC (1) Xiang Xiang
2011	—	`conf`	An Attempt to Segment Foreground in Dynamic Scenes. ISVC (1) Xiang Xiang
2008	C	`conf`	Intelligent Target Tracking and Shooting System with Mean Shift. ISPA Xiang Xiang, Wenhui Chen, Du Zeng