Weifeng Ge - RankMe

75 papers A* 22A 1B 1Journal 45Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Can Learn Scientific Taste. CoRR Jingqi Tong, Mingzhe Li, Hangcheng Li, Yongzhuo Yang, Yurong Mou, Weijie Ma, Zhiheng Xi, Hongji Chen, Xiaoran Liu, Qinyuan Cheng, Ming Zhang, Qiguang Chen, Weifeng Ge, Qipeng Guo, Tianlei Ying, Tianxiang Sun, Yining Zheng, Xinchi Chen, Jun Zhao, Ning Ding, Xuanjing Huang, Yu-Gang Jiang, Xipeng Qiu
2026	J	`jnl`	Adaptive Attention Distillation for Robust Few-Shot Segmentation under Environmental Perturbations. CoRR Qianyu Guo, Jingrong Wu, Jieji Ren, Weifeng Ge, Wenqiang Zhang
2025	J	`jnl`	ADAMIX: Adaptive Mixed-Precision Delta-Compression with Quantization Error Optimization for Large Language Models. CoRR Boya Xiong, Shuo Wang, Weifeng Ge, Guanhua Chen, Yun Chen
2025	J	`jnl`	Adapting Multimodal Large Language Models for Video Question Answering by Capturing Question-Critical and Coherent Moments. IEEE Trans. Multim. Haibo Wang, Chenghang Lai, Weifeng Ge
2025	J	`jnl`	Audio-VLA: Adding Contact Audio Perception to Vision-Language-Action Model for Robotic Manipulation. CoRR Xiangyi Wei, Haotian Zhang, Xinyi Cao, Siyu Xie, Weifeng Ge, Yang Li, Changbo Wang
2025	J	`jnl`	Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models. CoRR Miaoyang He, Shuyong Gao, Tsui Qin Mok, Weifeng Ge, Wengqiang Zhang
2025	A*	`conf`	CocoER: Aligning Multi-Level Feature by Competition and Coordination for Emotion Recognition. CVPR Xuli Shen, Hua Cai, Weilin Shen, Qing Xu, Dingding Yu, Weifeng Ge, Xiangyang Xue
2025	J	`jnl`	Code2Logic: Game-Code-Driven Data Synthesis for Enhancing VLMs General Reasoning. CoRR Jingqi Tong, Jixin Tang, Hangcheng Li, Yurong Mou, Ming Zhang, Jun Zhao, Yanbo Wen, Fan Song, Jiahao Zhan, Yuyang Lu, Chaoran Tao, Zhiyuan Guo, Jizhou Yu, Tianhao Cheng, Changhao Jiang, Zhen Wang, Tao Liang, Zhihui Fei, Mingyang Wan, Guojun Ma, Weifeng Ge, Guanhua Chen, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang
2025	J	`jnl`	Cross-Modal Complementary Learning and Template-Based Reasoning Chains for Future Event Prediction in Videos. IEEE Trans. Multim. Chenghang Lai, Weifeng Ge, Xiangyang Xue
2025	J	`jnl`	DeTrack: In-model Latent Denoising Learning for Visual Object Tracking. CoRR Xinyu Zhou, Jinglun Li, Lingyi Hong, Kaixun Jiang, Pinxue Guo, Weifeng Ge, Wenqiang Zhang
2025	J	`jnl`	Enhancing Environmental Robustness in Few-Shot Learning via Conditional Representation Learning. IEEE Trans. Image Process. Qianyu Guo, Jingrong Wu, Tianxing Wu, Haofen Wang, Weifeng Ge, Wenqiang Zhang
2025	J	`jnl`	Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning. CoRR Qianyu Guo, Jingrong Wu, Tianxing Wu, Haofen Wang, Weifeng Ge, Wenqiang Zhang
2025	A	`conf`	GTAD: Global Temporal Aggregation Denoising Learning for 3D Semantic Occupancy Prediction. IROS Tianhao Li, Yang Li, Mengtian Li, Yisheng Deng, Weifeng Ge
2025	J	`jnl`	GTAD: Global Temporal Aggregation Denoising Learning for 3D Semantic Occupancy Prediction. CoRR Tianhao Li, Yang Li, Mengtian Li, Yisheng Deng, Weifeng Ge
2025	J	`jnl`	GaussianMorphing: Mesh-Guided 3D Gaussians for Semantic-Aware Object Morphing. CoRR Mengtian Li, Yunshu Bai, Yimin Chu, Yijun Shen, Zhongmei Li, Weifeng Ge, Zhifeng Xie, Chaofeng Chen
2025	—	`conf`	Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models. EMNLP (Findings) Haibo Wang, Zhiyang Xu, Yu Cheng, Shizhe Diao, Yufan Zhou, Yixin Cao, Qifan Wang, Weifeng Ge, Lifu Huang
2025	J	`jnl`	StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant. CoRR Haibo Wang, Bo Feng, Zhengfeng Lai, Mingze Xu, Shiyu Li, Weifeng Ge, Afshin Dehghan, Meng Cao, Ping Huang
2025	J	`jnl`	Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection. CoRR Jinglun Li, Kaixun Jiang, Zhaoyu Chen, Bo Li, Yao Tang, Weifeng Ge, Wenqiang Zhang
2024	J	`jnl`	Compound-QA: A Benchmark for Evaluating LLMs on Compound Questions. CoRR Yutao Hou, Yajing Luo, Zhiwen Ruan, Hongru Wang, Weifeng Ge, Yun Chen, Guanhua Chen
2024	A*	`conf`	DeTrack: In-model Latent Denoising Learning for Visual Object Tracking. NeurIPS Xinyu Zhou, Jinglun Li, Lingyi Hong, Kaixun Jiang, Pinxue Guo, Weifeng Ge, Wenqiang Zhang
2024	J	`jnl`	Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models. CoRR Haibo Wang, Zhiyang Xu, Yu Cheng, Shizhe Diao, Yufan Zhou, Yixin Cao, Qifan Wang, Weifeng Ge, Lifu Huang
2024	J	`jnl`	Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection. CoRR Jinglun Li, Xinyu Zhou, Pinxue Guo, Yixuan Sun, Yiwen Huang, Weifeng Ge, Wenqiang Zhang
2024	J	`jnl`	Object-Centric Cross-Modal Knowledge Reasoning for Future Event Prediction in Videos. IEEE Trans. Circuits Syst. Video Technol. Chenghang Lai, Haibo Wang, Weifeng Ge, Xiangyang Xue
2024	A*	`conf`	Pixel-Level Semantic Correspondence Through Layout-Aware Representation Learning and Multi-Scale Matching Integration. CVPR Yixuan Sun, Zhangyue Yin, Haibo Wang, Yan Wang, Xipeng Qiu, Weifeng Ge, Wenqiang Zhang
2024	—	`conf`	Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge. ECCV (42) Haibo Wang, Weifeng Ge
2024	J	`jnl`	Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge. CoRR Haibi Wang, Weifeng Ge
2024	J	`jnl`	Reading Relevant Feature from Global Representation Memory for Visual Object Tracking. CoRR Xinyu Zhou, Pinxue Guo, Lingyi Hong, Jinglun Li, Wei Zhang, Weifeng Ge, Wenqiang Zhang
2024	A*	`conf`	TagOOD: A Novel Approach to Out-of-Distribution Detection via Vision-Language Representations and Class Center Learning. ACM Multimedia Jinglun Li, Xinyu Zhou, Kaixun Jiang, Lingyi Hong, Pinxue Guo, Zhaoyu Chen, Weifeng Ge, Wenqiang Zhang
2024	J	`jnl`	TagOOD: A Novel Approach to Out-of-Distribution Detection via Vision-Language Representations and Class Center Learning. CoRR Jinglun Li, Xinyu Zhou, Kaixun Jiang, Lingyi Hong, Pinxue Guo, Zhaoyu Chen, Weifeng Ge, Wenqiang Zhang
2024	A*	`conf`	Visual-Language Collaborative Representation Network for Broad-Domain Few-Shot Image Classification. ACM Multimedia Qianyu Guo, Jieji Ren, Haofen Wang, Tianxing Wu, Weifeng Ge, Wenqiang Zhang
2024	A*	`conf`	Weakly Supervised Gaussian Contrastive Grounding with Large Multimodal Models for Video Question Answering. ACM Multimedia Haibo Wang, Chenghang Lai, Yixuan Sun, Weifeng Ge
2024	J	`jnl`	Weakly Supervised Gaussian Contrastive Grounding with Large Multimodal Models for Video Question Answering. CoRR Haibo Wang, Chenghang Lai, Yixuan Sun, Weifeng Ge
2023	—	`conf`	Characterizing the Impacts of Instances on Robustness. ACL (Findings) Rui Zheng, Zhiheng Xi, Qin Liu, Wenbin Lai, Tao Gui, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan, Weifeng Ge
2023	A*	`conf`	Correspondence Transformers with Asymmetric Feature Learning and Matching Flow Super-Resolution. CVPR Yixuan Sun, Dongyang Zhao, Zhangyue Yin, Yiwen Huang, Tao Gui, Wenqiang Zhang, Weifeng Ge
2023	J	`jnl`	Digital Twin Driven Fault Diagnosis Method for Subsea Control System. IEEE Access Weifeng Ge, Rui He, Qibing Wu, Baoping Cai, Chao Yang, Fei Zhang
2023	J	`jnl`	Digital twin-driven fault diagnosis method for composite faults by combining virtual and real data. J. Ind. Inf. Integr. Chao Yang, Baoping Cai, Qibing Wu, Chenyushu Wang, Weifeng Ge, Zhiming Hu, Wei Zhu, Lei Zhang, Longting Wang
2023	A*	`conf`	Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection. ICCV Jinglun Li, Xinyu Zhou, Pinxue Guo, Yixuan Sun, Yiwen Huang, Weifeng Ge, Wenqiang Zhang
2023	—	`conf`	Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge. ACL (Findings) Hua Cai, Xuli Shen, Qing Xu, Weilin Shen, Xiaomei Wang, Weifeng Ge, Xiaoqing Zheng, Xiangyang Xue
2023	J	`jnl`	Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge. CoRR Hua Cai, Xuli Shen, Qing Xu, Weilin Shen, Xiaomei Wang, Weifeng Ge, Xiaoqing Zheng, Xiangyang Xue
2023	A*	`conf`	MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence. CVPR Yixuan Sun, Yiwen Huang, Haijing Guo, Yuzhou Zhao, Runmin Wu, Yizhou Yu, Weifeng Ge, Wenqiang Zhang
2023	—	`conf`	Multi-domain Information Fusion for Key-Points Guided GAN Inversion. PRCV (11) Ruize Xu, Xiaowen Qiu, Boan He, Weifeng Ge, Wenqiang Zhang
2023	A*	`conf`	RankDNN: Learning to Rank for Few-Shot Learning. AAAI Qianyu Guo, Haotong Gong, Xujun Wei, Yanwei Fu, Yizhou Yu, Wenqiang Zhang, Weifeng Ge
2023	A*	`conf`	Reading Relevant Feature from Global Representation Memory for Visual Object Tracking. NeurIPS Xinyu Zhou, Pinxue Guo, Lingyi Hong, Jinglun Li, Wei Zhang, Weifeng Ge, Wenqiang Zhang
2023	A*	`conf`	Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement. ICCV Yiwen Huang, Yixuan Sun, Chenghang Lai, Qing Xu, Xiaomei Wang, Xuli Shen, Weifeng Ge
2022	J	`jnl`	A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances. CoRR Yan Wang, Wei Song, Wei Tao, Antonio Liotta, Dawei Yang, Xinlei Li, Shuyong Gao, Yixuan Sun, Weifeng Ge, Wei Zhang, Wenqiang Zhang
2022	J	`jnl`	A systematic review on affective computing: emotion models, databases, and recent advances. Inf. Fusion Yan Wang, Wei Song, Wei Tao, Antonio Liotta, Dawei Yang, Xinlei Li, Shuyong Gao, Yixuan Sun, Weifeng Ge, Wei Zhang, Wenqiang Zhang
2022	A*	`conf`	Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning. CVPR Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang
2022	J	`jnl`	Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning. CoRR Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang
2022	J	`jnl`	ColoristaNet for Photorealistic Video Style Transfer. CoRR Xiaowen Qiu, Ruize Xu, Boan He, Yingtao Zhang, Wenqiang Zhang, Weifeng Ge
2022	J	`jnl`	Condition-based maintenance method for multi-component system based on RUL prediction: Subsea tree system as a case study. Comput. Ind. Eng. Baoping Cai, Yuandong Wang, Yanping Zhang, Yiliu Liu, Weifeng Ge, Rongkang Li, Yonghong Liu, Guijie Liu
2022	A*	`conf`	DPCNet: Dual Path Multi-Excitation Collaborative Network for Facial Expression Representation Learning in Videos. ACM Multimedia Yan Wang, Yixuan Sun, Wei Song, Shuyong Gao, Yiwen Huang, Zhaoyu Chen, Weifeng Ge, Wenqiang Zhang
2022	A*	`conf`	FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos. CVPR Yan Wang, Yixuan Sun, Yiwen Huang, Zhongying Liu, Shuyong Gao, Wei Zhang, Weifeng Ge, Wenqiang Zhang
2022	J	`jnl`	FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos. CoRR Yan Wang, Yixuan Sun, Yiwen Huang, Zhongying Liu, Shuyong Gao, Wei Zhang, Weifeng Ge, Wenqiang Zhang
2022	J	`jnl`	RankDNN: Learning to Rank for Few-shot Learning. CoRR Qianyu Guo, Hongtong Gong, Xujun Wei, Yanwei Fu, Weifeng Ge, Yizhou Yu, Wenqiang Zhang
2022	A*	`conf`	Towards Scalable and Fast Distributionally Robust Optimization for Data-Driven Deep Learning. ICDM Xuli Shen, Xiaomei Wang, Qing Xu, Weifeng Ge, Xiangyang Xue
2022	J	`jnl`	Virtual Sensing for Online Fault Diagnosis of Heat Exchangers. IEEE Trans. Instrum. Meas. Jinjiang Wang, Jiazheng Sun, Weifeng Ge, Fengli Zhang, Robert X. Gao
2021	A*	`conf`	GraphFPN: Graph Feature Pyramid Network for Object Detection. ICCV Gangming Zhao, Weifeng Ge, Yizhou Yu
2021	J	`jnl`	GraphFPN: Graph Feature Pyramid Network for Object Detection. CoRR Gangming Zhao, Weifeng Ge, Yizhou Yu
2021	A*	`conf`	Multi-scale Matching Networks for Semantic Correspondence. ICCV Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu
2021	J	`jnl`	Multi-scale Matching Networks for Semantic Correspondence. CoRR Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu
2020	J	`jnl`	Remaining Useful Life Estimation of Structure Systems Under the Influence of Multiple Causes: Subsea Pipelines as a Case Study. IEEE Trans. Ind. Electron. Baoping Cai, Xiaoyan Shao, Yonghong Liu, Xiangdi Kong, Haifeng Wang, Hongqi Xu, Weifeng Ge
2019	A*	`conf`	Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation. ICCV Weifeng Ge, Weilin Huang, Sheng Guo, Matthew R. Scott
2019	J	`jnl`	Label-PEnet: Sequential Label Propagation and Enhancement Networks forWeakly Supervised Instance Segmentation. CoRR Weifeng Ge, Sheng Guo, Weilin Huang, Matthew R. Scott
2019	A*	`conf`	Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up. CVPR Weifeng Ge, Xiangru Lin, Yizhou Yu
2019	J	`jnl`	Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up. CoRR Weifeng Ge, Xiangru Lin, Yizhou Yu
2018	—	`conf`	Deep Metric Learning with Hierarchical Triplet Loss. ECCV (6) Weifeng Ge, Weilin Huang, Dengke Dong, Matthew R. Scott
2018	J	`jnl`	Deep Metric Learning with Hierarchical Triplet Loss. CoRR Weifeng Ge, Weilin Huang, Dengke Dong, Matthew R. Scott
2018	J	`jnl`	Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical Rectification. CoRR Weifeng Ge, Bingchen Gong, Yizhou Yu
2018	J	`jnl`	Image super-resolution via deterministic-stochastic synthesis and local statistical rectification. ACM Trans. Graph. Weifeng Ge, Bingchen Gong, Yizhou Yu
2018	A*	`conf`	Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning. CVPR Weifeng Ge, Sibei Yang, Yizhou Yu
2018	J	`jnl`	Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning. CoRR Weifeng Ge, Sibei Yang, Yizhou Yu
2017	A*	`conf`	Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning. CVPR Weifeng Ge, Yizhou Yu
2017	J	`jnl`	Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning. CoRR Weifeng Ge, Yizhou Yu
2016	J	`jnl`	Dynamic background estimation and complementary learning for pixel-wise foreground/background segmentation. Pattern Recognit. Weifeng Ge, Zhenhua Guo, Yuhan Dong, Youbin Chen
2014	B	`conf`	Background Subtraction with Dynamic Noise Sampling and Complementary Learning. ICPR Weifeng Ge, Yuhan Dong, Zhenhua Guo, Youbin Chen