Wei Ke - RankMe

61 papers A* 18A 1B 1Misc 1Journal 34Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving. CoRR Yanhao Wu, Haoyang Zhang, Fei He, Rui Wu, Congpei Qiu, Liang Gao, Wei Ke, Tong Zhang
2026	J	`jnl`	Cheers: Decoupling Patch Details from Semantic Representations Enables Unified Multimodal Comprehension and Generation. CoRR Yichen Zhang, Da Peng, Zonghao Guo, Zijian Zhang, Xuesong Yang, Tong Sun, Shichu Sun, Yidan Zhang, Yanghao Li, Haiyan Zhao, Wang Xu, Qi Shi, Yangang Sun, Chi Chen, Shuo Wang, Yukun Yan, Xu Han, Qiang Ma, Wei Ke, Liang Wang, Zhiyuan Liu, Maosong Sun
2026	A*	`conf`	Monte Carlo Diffusion for Generalizable Learning-Based RANSAC. AAAI Jiale Wang, Chen Zhao, Wei Ke, Tong Zhang
2026	J	`jnl`	Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for Interpretable AI-Generated Image Detection. CoRR Yao Xiao, Weiyan Chen, Jiahao Chen, Zijie Cao, Weijian Deng, Binbin Yang, Ziyi Dong, Xiangyang Ji, Wei Ke, Pengxu Wei, Liang Lin
2025	J	`jnl`	A Bayesian dual-pathway network for unsupervised domain adaptation. Pattern Recognit. Yuhang He, Junzhe Chen, Jiehua Zhang, Wei Ke, Yihong Gong
2025	A*	`conf`	Are High-Quality AI-Generated Images More Difficult for Models to Detect? ICML Yao Xiao, Binbin Yang, Weiyan Chen, Jiahao Chen, Zijie Cao, Ziyi Dong, Xiangyang Ji, Liang Lin, Wei Ke, Pengxu Wei
2025	J	`jnl`	Frequency-Aware Divide-and-Conquer for Efficient Real Noise Removal. IEEE Trans. Neural Networks Learn. Syst. Yunqi Huang, Chang Liu, Bohao Li, Hai-Jun Huang, Ronghui Zhang, Wei Ke, Xiaojun Jing
2025	A*	`conf`	Frequency-aware Correlation Discovering and Spatial Forgery Clue Distilling for Synthetic Image Detection. ACM Multimedia Jiehua Zhang, Liang Li, Chenggang Yan, Wei Ke, Yihong Gong
2025	J	`jnl`	Generating Multimodal Driving Scenes via Next-Scene Prediction. CoRR Yanhao Wu, Haoyang Zhang, Tianwei Lin, Lichao Huang, Shujie Luo, Rui Wu, Congpei Qiu, Wei Ke, Tong Zhang
2025	J	`jnl`	InstructionBench: An Instructional Video Understanding Benchmark. CoRR Haiwan Wei, Yitian Yuan, Xiaohan Lan, Wei Ke, Lin Ma
2025	J	`jnl`	Language-Driven Visual Consensus for Zero-Shot Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. Zicheng Zhang, Wei Ke, Yi Zhu, Xiaodan Liang, Jianzhuang Liu, Qixiang Ye, Tong Zhang
2025	J	`jnl`	Monocular Depth Estimation on Adverse Weathers With Curriculum Domain Distribution Alignment. IEEE Trans. Circuits Syst. Video Technol. Jiehua Zhang, Liang Li, Chenggang Yan, Wei Ke, Yihong Gong
2025	J	`jnl`	Monte Carlo Diffusion for Generalizable Learning-Based RANSAC. CoRR Jiale Wang, Chen Zhao, Wei Ke, Tong Zhang
2025	J	`jnl`	One point is all you need for weakly supervised object detection. Pattern Recognit. Shiwei Zhang, Zhengzheng Wang, Wei Ke
2025	A*	`conf`	Refining CLIP's Spatial Awareness: A Visual-Centric Perspective. ICLR Congpei Qiu, Yanhao Wu, Wei Ke, Xiuxiu Bai, Tong Zhang
2025	J	`jnl`	Refining CLIP's Spatial Awareness: A Visual-Centric Perspective. CoRR Congpei Qiu, Yanhao Wu, Wei Ke, Xiuxiu Bai, Tong Zhang
2025	J	`jnl`	Will Pre-Training Ever End? A First Step Toward Next-Generation Foundation MLLMs via Self-Improving Systematic Cognition. CoRR Xiaoying Zhang, Da Peng, Yipeng Zhang, Zonghao Guo, Chengyue Wu, Chi Chen, Wei Ke, Helen Meng, Maosong Sun
2024	A*	`conf`	Boosting Semi-supervised Crowd Counting with Scale-based Active Learning. ACM Multimedia Shiwei Zhang, Wei Ke, Shuai Liu, Xiaopeng Hong, Tong Zhang
2024	J	`jnl`	Coherent and Multi-modality Image Inpainting via Latent Space Optimization. CoRR Lingzhi Pan, Tong Zhang, Bingyuan Chen, Qi Zhou, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
2024	A*	`conf`	Kepler codebook. ICML Junrong Lian, Ziyue Dong, Pengxu Wei, Wei Ke, Chang Liu, Qixiang Ye, Xiangyang Ji, Liang Lin
2024	J	`jnl`	Language-Driven Visual Consensus for Zero-Shot Semantic Segmentation. CoRR Zicheng Zhang, Tong Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Qixiang Ye, Wei Ke
2024	A*	`conf`	Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning. ICLR Congpei Qiu, Tong Zhang, Yanhao Wu, Wei Ke, Mathieu Salzmann, Sabine Süsstrunk
2024	A*	`conf`	Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning Through Object Exchange. CVPR Yanhao Wu, Tong Zhang, Wei Ke, Congpei Qiu, Sabine Süsstrunk, Mathieu Salzmann
2024	J	`jnl`	Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange. CoRR Yanhao Wu, Tong Zhang, Wei Ke, Congpei Qiu, Sabine Süsstrunk, Mathieu Salzmann
2024	J	`jnl`	PBT: Progressive Background-Aware Transformer for Infrared Small Target Detection. IEEE Trans. Geosci. Remote. Sens. Huoren Yang, Tingkui Mu, Ziyue Dong, Zicheng Zhang, Bin Wang, Wei Ke, Qiujie Yang, Zhiping He
2023	J	`jnl`	Automated lesion segmentation in fundus images with many-to-many reassembly of features. Pattern Recognit. Qing Liu, Haotian Liu, Wei Ke, Yixiong Liang
2023	J	`jnl`	Crowd Counting with Sparse Annotation. CoRR Shiwei Zhang, Zhengzheng Wang, Qing Liu, Fei Wang, Wei Ke, Tong Zhang
2023	J	`jnl`	De-coupling and De-positioning Dense Self-supervised Learning. CoRR Congpei Qiu, Tong Zhang, Wei Ke, Mathieu Salzmann, Sabine Süsstrunk
2023	A*	`conf`	Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild. CVPR Yanhao Wu, Tong Zhang, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
2023	J	`jnl`	Spatiotemporal Self-supervised Learning for Point Clouds in the Wild. CoRR Yanhao Wu, Tong Zhang, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
2022	A*	`conf`	CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation. NeurIPS Zicheng Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Wei Ke
2022	J	`jnl`	CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation. CoRR Zicheng Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Wei Ke
2022	J	`jnl`	Identity-Quantity Harmonic Multi-Object Tracking. IEEE Trans. Image Process. Yuhang He, Xing Wei, Xiaopeng Hong, Wei Ke, Yihong Gong
2022	A*	`conf`	Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. CVPR Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
2022	J	`jnl`	Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. CoRR Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
2021	J	`jnl`	Discovery-and-Selection: Towards Optimal Multiple Instance Learning for Weakly Supervised Object Detection. CoRR Shiwei Zhang, Wei Ke, Lin Yang
2021	A*	`conf`	Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting. AAAI Yuhang He, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Wei Ke, Yihong Gong
2021	A	`conf`	Kohonen Self-Organizing Map based Route Planning: A Revisit. IROS Qingshu Guan, Xiaopeng Hong, Wei Ke, Liangfei Zhang, Guanghui Sun, Yihong Gong
2021	J	`jnl`	SRN: Side-Output Residual Network for Object Reflection Symmetry Detection and Beyond. IEEE Trans. Neural Networks Learn. Syst. Wei Ke, Jie Chen, Jianbin Jiao, Guoying Zhao, Qixiang Ye
2020	B	`conf`	Class-Incremental Learning with Topological Schemas of Memory Spaces. ICPR Xinyuan Chang, Xiaoyu Tao, Xiaopeng Hong, Xing Wei, Wei Ke, Yihong Gong
2020	A*	`conf`	Co-Attentive Lifting for Infrared-Visible Person Re-Identification. ACM Multimedia Xing Wei, Diangang Li, Xiaopeng Hong, Wei Ke, Yihong Gong
2020	A*	`conf`	Multiple Anchor Learning for Visual Object Detection. CVPR Wei Ke, Tianliang Zhang, Zeyi Huang, Qixiang Ye, Jianzhuang Liu, Dong Huang
2020	J	`jnl`	Progressive Latent Models for Self-Learning Scene-Specific Pedestrian Detectors. IEEE Trans. Intell. Transp. Syst. Qixiang Ye, Tianliang Zhang, Wei Ke
2019	A*	`conf`	C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection. CVPR Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye
2019	J	`jnl`	C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection. CoRR Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye
2019	J	`jnl`	DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation. CoRR Qing Liu, Xiaopeng Hong, Wei Ke, Zailiang Chen, Beiji Zou
2019	J	`jnl`	Deep contour and symmetry scored object proposal. Pattern Recognit. Lett. Wei Ke, Jie Chen, Qixiang Ye
2019	J	`jnl`	Multiple Anchor Learning for Visual Object Detection. CoRR Wei Ke, Tianliang Zhang, Zeyi Huang, Qixiang Ye, Jianzhuang Liu, Dong Huang
2019	A*	`conf`	Orthogonal Decomposition Network for Pixel-Wise Binary Classification. CVPR Chang Liu, Fang Wan, Wei Ke, Zhuowei Xiao, Yuan Yao, Xiaosong Zhang, Qixiang Ye
2019	—	`conf`	Parametric Skeleton Generation via Gaussian Mixture Models. CVPR Workshops Chang Liu, Dezhao Luo, Yifei Zhang, Wei Ke, Fang Wan, Qixiang Ye
2018	—	`conf`	Linear Span Network for Object Skeleton Detection. ECCV (2) Chang Liu, Wei Ke, Fei Qin, Qixiang Ye
2018	J	`jnl`	Linear Span Network for Object Skeleton Detection. CoRR Chang Liu, Wei Ke, Fei Qin, Qixiang Ye
2017	J	`jnl`	A location-to-segmentation strategy for automatic exudate segmentation in colour retinal fundus images. Comput. Medical Imaging Graph. Qing Liu, Beiji Zou, Jie Chen, Wei Ke, Kejuan Yue, Zailiang Chen, Guoying Zhao
2017	—	`conf`	RSRN: Rich Side-Output Residual Network for Medial Axis Detection. ICCV Workshops Chang Liu, Wei Ke, Jianbin Jiao, Qixiang Ye
2017	A*	`conf`	SRN: Side-Output Residual Network for Object Symmetry Detection in the Wild. CVPR Wei Ke, Jie Chen, Jianbin Jiao, Guoying Zhao, Qixiang Ye
2017	J	`jnl`	SRN: Side-output Residual Network for Object Symmetry Detection in the Wild. CoRR Wei Ke, Jie Chen, Jianbin Jiao, Guoying Zhao, Qixiang Ye
2017	A*	`conf`	Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model. CVPR Qixiang Ye, Tianliang Zhang, Wei Ke, Qiang Qiu, Jie Chen, Guillermo Sapiro, Baochang Zhang
2016	—	`conf`	Texture Complexity Based Redundant Regions Ranking for Object Proposal. CVPR Workshops Wei Ke, Tianliang Zhang, Jie Chen, Fang Wan, Qixiang Ye, Zhenjun Han
2015	Misc	`conf`	Pedestrian detection via PCA filters based convolutional channel features. ICASSP Wei Ke, Yao Zhang, Pengxu Wei, Qixiang Ye, Jianbin Jiao
2014	—	`conf`	Pedestrian Detection with Deep Convolutional Neural Network. ACCV Workshops (1) Xiaogang Chen, Pengxu Wei, Wei Ke, Qixiang Ye, Jianbin Jiao
2013	—	`conf`	Minimum Entropy Models for Laser Line Extraction. CAIP (2) Wei Yang, Liguo Zhang, Wei Ke, Ce Li, Jianbin Jiao