Hou, Qibin

46 publications

ICCV 2025 AR-1-to-3: Single Image to Consistent 3D Object via Next-View Prediction Xuying Zhang, Yupeng Zhou, Kai Wang, Yikai Wang, Zhen Li, Shaohui Jiao, Daquan Zhou, Qibin Hou, Ming-Ming Cheng

MLJ 2025 Correction to: Deep Negative Correlation Classification Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu

CVPR 2025 DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation Bo-Wen Yin, Jiao-Long Cao, Ming-Ming Cheng, Qibin Hou

CVPR 2025 Docopilot: Improving Multimodal Models for Document-Level Understanding Yuchen Duan, Zhe Chen, Yusong Hu, Weiyun Wang, Shenglong Ye, Botian Shi, Lewei Lu, Qibin Hou, Tong Lu, Hongsheng Li, Jifeng Dai, Wenhai Wang

CVPR 2025 K-LoRA: Unlocking Training-Free Fusion of Any Subject and Style LoRAs Ziheng Ouyang, Zhen Li, Qibin Hou

CVPR 2025 KAC: Kolmogorov-Arnold Classifier for Continual Learning Yusong Hu, Zichen Liang, Fei Yang, Qibin Hou, Xialei Liu, Ming-Ming Cheng

ICLR 2025 Multi-Task Dense Predictions via Unleashing the Power of Diffusion Yuqi Yang, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Bo Li

NeurIPS 2025 OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation Bo-Wen Yin, Jiao-Long Cao, Xuying Zhang, Yuming Chen, Ming-Ming Cheng, Qibin Hou

ICLR 2025 Re-Aligning Language to Visual Objects with an Agentic Workflow Yuming Chen, Jiangyan Feng, Haodong Zhang, Lijun Gong, Feng Zhu, Rui Zhao, Qibin Hou, Ming-Ming Cheng, Yibing Song

ICCV 2025 Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment Shi-Chen Zhang, Yunheng Li, Yu-Huan Wu, Qibin Hou, Ming-Ming Cheng

NeurIPS 2025 SE-GUI: Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning Xinbin Yuan, Jian Zhang, Kaixin Li, Zhuoxuan Cai, Lujian Yao, Jie Chen, Enguang Wang, Qibin Hou, Jinwei Chen, Peng-Tao Jiang, Bo Li

ICCV 2025 TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Xuying Zhang, Yutong Liu, Yangguang Li, Renrui Zhang, Yufei Liu, Kai Wang, Wanli Ouyang, Zhiwei Xiong, Peng Gao, Qibin Hou, Ming-Ming Cheng

NeurIPS 2025 TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs Yunheng Li, JingCheng, Shaoyong Jia, Hangyi Kuang, Shaohui Jiao, Qibin Hou, Ming-Ming Cheng

ICCV 2025 Unbiased Region-Language Alignment for Open-Vocabulary Dense Prediction Yunheng Li, Yuxuan Li, Quan-Sheng Zeng, Wenhai Wang, Qibin Hou, Ming-Ming Cheng

ICML 2024 Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation Yunheng Li, Zhong-Yu Li, Quan-Sheng Zeng, Qibin Hou, Ming-Ming Cheng

CVPR 2024 CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation Boyuan Sun, Yuqi Yang, Le Zhang, Ming-Ming Cheng, Qibin Hou

CVPR 2024 CrossKD: Cross-Head Knowledge Distillation for Object Detection Jiabao Wang, Yuming Chen, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou

ICLR 2024 DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation Bowen Yin, Xuying Zhang, Zhong-Yu Li, Li Liu, Ming-Ming Cheng, Qibin Hou

MLJ 2024 Deep Negative Correlation Classification Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu

ICLR 2024 Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Khan, Qibin Hou, Yaxing Wang, Jian Yang

CVPR 2024 Multi-Task Dense Prediction via Mixture of Low-Rank Experts Yuqi Yang, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Bo Li

NeurIPS 2024 OPUS: Occupancy Prediction Using a Sparse Set Jiabao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang, Jie Yang, Wei Liu, Qibin Hou, Ming-Ming Cheng

AAAI 2024 Polyper: Boundary Sensitive Polyp Segmentation Hao Shao, Yang Zhang, Qibin Hou

NeurIPS 2024 SARDet-100k: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection Yuxuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu, Ming-Ming Cheng, Jian Yang

NeurIPS 2024 StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou

CVPR 2024 TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes Xuying Zhang, Bo-Wen Yin, Yuming Chen, Zheng Lin, Yunheng Li, Qibin Hou, Ming-Ming Cheng

ECCV 2024 Towards Stable 3D Object Detection Jiabao Wang, Qiang Meng, Guochao Liu, Liujiang Yan, Ke Wang, Ming-Ming Cheng, Qibin Hou

CVPR 2024 Traffic Scene Parsing Through the TSP6K Dataset Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen

CVPR 2023 AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation Zhen Li, Zuo-Liang Zhu, Ling-Hao Han, Qibin Hou, Chun-Le Guo, Ming-Ming Cheng

ICCV 2023 Large Selective Kernel Network for Remote Sensing Object Detection Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li

ICCV 2023 SRFormer: Permuted Self-Attention for Single Image Super-Resolution Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou

CVPR 2022 L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation Peng-Tao Jiang, Yuqi Yang, Qibin Hou, Yunchao Wei

CVPR 2022 Localization Distillation for Dense Object Detection Zhaohui Zheng, Rongguang Ye, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou, Ming-Ming Cheng

NeurIPS 2022 SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou, Zhengning Liu, Ming-Ming Cheng, Shi-min Hu

NeurIPS 2021 All Tokens Matter: Token Labeling for Training Better Vision Transformers Zi-Hang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng

ICCV 2021 AutoSpace: Neural Architecture Search with Less Human Interference Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng

CVPR 2021 Coordinate Attention for Efficient Mobile Network Design Qibin Hou, Daquan Zhou, Jiashi Feng

WACV 2021 Rotate to Attend: Convolutional Triplet Attention Module Diganta Misra, Trikay Nalamada, Ajay Uppili Arasanipalai, Qibin Hou

ICLR 2020 Neural Epitome Search for Architecture-Agnostic Network Compression Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng

ECCV 2020 Rethinking Bottleneck Structure for Efficient Mobile Network Design Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan

ECCV 2018 Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation Ruochen Fan, Qibin Hou, Ming-Ming Cheng, Gang Yu, Ralph R. Martin, Shi-Min Hu

AAAI 2018 FLIC: Fast Linear Iterative Clustering with Active Search Jiaxing Zhao, Bo Ren, Qibin Hou, Ming-Ming Cheng, Paul L. Rosin

ECCV 2018 Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground Deng-Ping Fan, Ming-Ming Cheng, Jiang-Jiang Liu, Shang-Hua Gao, Qibin Hou, Ali Borji

NeurIPS 2018 Self-Erasing Network for Integral Object Attention Qibin Hou, PengTao Jiang, Yunchao Wei, Ming-Ming Cheng

CVPR 2017 Deeply Supervised Salient Object Detection with Short Connections Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr

ECCV 2016 HFS: Hierarchical Feature Selection for Efficient Image Segmentation Ming-Ming Cheng, Yun Liu, Qibin Hou, Jiawang Bian, Philip H. S. Torr, Shi-Min Hu, Zhuowen Tu