The difference between the domination number and the minus domination number of a cubic graph. - Xiaofan Yang; Qibin Hou; Xiangsheng Huang; Hengnong Xuan (Appl. Math. Lett., 2003)

Line Feature Detection from 3D Point Clouds via Adaptive CS-RBFs Shape Reconstruction and Multistep Vertex Normal Manipulation. - Qibin Hou; Li Bai 001 (CGIV, 2005)

Mesh Smoothing via Adaptive Bilateral Filtering. - Qibin Hou; Li Bai 001; Yangsheng Wang (International Conference on Computational Science (2), 2005)

Facial memorability prediction fusing geometric and texture features. - Ziyi Dai; Zehua Pan; Yewei Wu; Linlin Shen; Qibin Hou (ICIA, 2015)

HFS: Hierarchical Feature Selection for Efficient Image Segmentation. - Ming-Ming Cheng; Yun Liu 011; Qibin Hou; Jiawang Bian; Philip H. S. Torr; Shi-Min Hu 001; Zhuowen Tu (ECCV (3), 2016)

FLIC: Fast Linear Iterative Clustering with Active Search. - Jia-Xin Zhao; Ren Bo; Qibin Hou; Ming-Ming Cheng (CoRR, 2016)

Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation. - Qibin Hou; Daniela Massiceti; Puneet Kumar Dokania; Yunchao Wei; Ming-Ming Cheng; Philip H. S. Torr (EMMCVPR, 2017)

S4Net: Single Stage Salient-Instance Segmentation. - Ruochen Fan; Qibin Hou; Ming-Ming Cheng; Tai-Jiang Mu; Shi-Min Hu 001 (CoRR, 2017)

Intelligent Visual Media Processing: When Graphics Meets Vision. - Ming-Ming Cheng; Qibin Hou; Song-Hai Zhang; Paul L. Rosin (J. Comput. Sci. Technol., 2017)

FLIC: Fast Linear Iterative Clustering With Active Search. - Jiaxing Zhao; Bo Ren 003; Qibin Hou; Ming-Ming Cheng; Paul L. Rosin (AAAI, 2018)

Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground. - Deng-Ping Fan; Ming-Ming Cheng; Jiang-Jiang Liu 001; Shanghua Gao; Qibin Hou; Ali Borji (ECCV (15), 2018)

Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation. - Ruochen Fan; Qibin Hou; Ming-Ming Cheng; Gang Yu 002; Ralph R. Martin; Shi-Min Hu 001 (ECCV (9), 2018)

Self-Erasing Network for Integral Object Attention. - Qibin Hou; Peng-Tao Jiang; Yunchao Wei; Ming-Ming Cheng (NeurIPS, 2018)

WebSeg: Learning Semantic Segmentation from Web Searches. - Qibin Hou; Ming-Ming Cheng; Jiang-Jiang Liu 001; Philip H. S. Torr (CoRR, 2018)

Three Birds One Stone: A Unified Framework for Salient Object Segmentation, Edge Detection and Skeleton Extraction. - Qibin Hou; Jiang-Jiang Liu 001; Ming-Ming Cheng; Ali Borji; Philip H. S. Torr (CoRR, 2018)

Optimizing the F-measure for Threshold-free Salient Object Detection. - Kai Zhao; Shanghua Gao; Qibin Hou; Dandan Li; Ming-Ming Cheng (CoRR, 2018)

FLIC: Fast linear iterative clustering with active search. - Jiaxing Zhao; Ren Bo; Qibin Hou; Ming-Ming Cheng; Paul L. Rosin (Comput. Vis. Media, 2018)

A Simple Pooling-Based Design for Real-Time Salient Object Detection. - Jiang-Jiang Liu 001; Qibin Hou; Ming-Ming Cheng; Jiashi Feng; Jianmin Jiang (CVPR, 2019)

Integral Object Mining via Online Attention Accumulation. - Peng-Tao Jiang; Qibin Hou; Yang Cao 017; Ming-Ming Cheng; Yunchao Wei; Hongkai Xiong (ICCV, 2019)

Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks. - Deng-Ping Fan; Zheng Lin 005; Jiaxing Zhao; Yun Liu 011; Zhao Zhang 018; Qibin Hou; Menglong Zhu; Ming-Ming Cheng (CoRR, 2019)

Salient object detection: A survey. - Ali Borji; Ming-Ming Cheng; Qibin Hou; Huaizu Jiang; Jia Li 003 (Comput. Vis. Media, 2019)

SpinNet: Spinning convolutional network for lane boundary detection. - Ruochen Fan; Xuanrun Wang; Qibin Hou; Hanchao Liu; Tai-Jiang Mu (Comput. Vis. Media, 2019)

Deeply Supervised Salient Object Detection with Short Connections. - Qibin Hou; Ming-Ming Cheng; Xiaowei Hu 003; Ali Borji; Zhuowen Tu; Philip H. S. Torr (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. - Qibin Hou; Li Zhang 023; Ming-Ming Cheng; Jiashi Feng (CVPR, 2020)

Improving Convolutional Networks With Self-Calibrated Convolutions. - Jiang-Jiang Liu 001; Qibin Hou; Ming-Ming Cheng; Changhu Wang; Jiashi Feng (CVPR, 2020)

Rethinking Bottleneck Structure for Efficient Mobile Network Design. - Daquan Zhou; Qibin Hou; Yunpeng Chen; Jiashi Feng; Shuicheng Yan (ECCV (3), 2020)

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

PANDA: Prototypical Unsupervised Domain Adaptation. - Dapeng Hu; Jian Liang 001; Qibin Hou; Hanshu Yan; Yunpeng Chen; Shuicheng Yan; Jiashi Feng (CoRR, 2020)

Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation. - Kuangqi Zhou; Qibin Hou; Zun Li 001; Jiashi Feng (CoRR, 2020)

S4Net: Single stage salient-instance segmentation. - Ruochen Fan; Ming-Ming Cheng; Qibin Hou; Tai-Jiang Mu; Jingdong Wang 001; Shi-Min Hu 001 (Comput. Vis. Media, 2020)

Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge, and Skeleton. - Jiang-Jiang Liu 001; Qibin Hou; Ming-Ming Cheng (IEEE Trans. Image Process., 2020)

LV-BERT: Exploiting Layer Variety for BERT. - Weihao Yu 001; Zihang Jiang; Fei Chen 013; Qibin Hou; Jiashi Feng (ACL/IJCNLP (Findings), 2021)

Coordinate Attention for Efficient Mobile Network Design. - Qibin Hou; Daquan Zhou; Jiashi Feng (CVPR, 2021)

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

All Tokens Matter: Token Labeling for Training Better Vision Transformers. - Zihang Jiang; Qibin Hou; Li Yuan 007; Daquan Zhou; Yujun Shi; Xiaojie Jin; Anran Wang 001; Jiashi Feng (NeurIPS, 2021)

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

DeepViT: Towards Deeper Vision Transformer. - Daquan Zhou; Bingyi Kang; Xiaojie Jin; Linjie Yang; Xiaochen Lian; Qibin Hou; Jiashi Feng (CoRR, 2021)

FakeMix Augmentation Improves Transparent Object Detection. - Yang Cao; Zhengqiang Zhang; Enze Xie; Qibin Hou; Kai Zhao; Xiangui Luo; Jian Tuo (CoRR, 2021)

Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet. - Zihang Jiang; Qibin Hou; Li Yuan 007; Daquan Zhou; Xiaojie Jin; Anran Wang 001; Jiashi Feng (CoRR, 2021)

Refiner: Refining Self-attention for Vision Transformers. - Daquan Zhou; Yujun Shi; Bingyi Kang; Weihao Yu 001; Zihang Jiang; Li Yuan 007; Xiaojie Jin; Qibin Hou; Jiashi Feng (CoRR, 2021)

Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner. - Dapeng Hu; Jian Liang 001; Qibin Hou; Hanshu Yan; Yunpeng Chen (IEEE Trans. Image Process., 2021)

LayerCAM: Exploring Hierarchical Class Activation Maps for Localization. - Peng-Tao Jiang; Chang-Bin Zhang; Qibin Hou; Ming-Ming Cheng; Yunchao Wei (IEEE Trans. Image Process., 2021)

Cross-Layer Feature Pyramid Network for Salient Object Detection. - Zun Li 001; Congyan Lang; Jun Hao Liew; Yidong Li; Qibin Hou; Jiashi Feng (IEEE Trans. Image Process., 2021)

Delving Deep Into Label Smoothing. - Chang-Bin Zhang; Peng-Tao Jiang; Qibin Hou; Yunchao Wei; Qi Han 007; Zhen Li 031; Ming-Ming Cheng (IEEE Trans. Image Process., 2021)

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 003; Rongguang Ye; Ping Wang 072; Dongwei Ren; Wangmeng Zuo; Qibin Hou; Ming-Ming Cheng (CVPR, 2022)

FMNet: Frequency-Aware Modulation Network for SDR-to-HDR Translation. - Gang Xu; Qibin Hou; Le Zhang 001; Ming-Ming Cheng (ACM Multimedia, 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 001 (NeurIPS, 2022)

CamoFormer: Masked Separable Attention for Camouflaged Object Detection. - Bowen Yin; Xuying Zhang; Qibin Hou; Boyuan Sun 001; Deng-Ping Fan; Luc Van Gool (CoRR, 2022)

Online Attention Accumulation for Weakly Supervised Semantic Segmentation. - Peng-Tao Jiang; Linghao Han; Qibin Hou; Ming-Ming Cheng; Yunchao Wei (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Dense Attentive Feature Enhancement for Salient Object Detection. - Zun Li 001; Congyan Lang; Liqian Liang; Jian Zhao 006; Songhe Feng; Qibin Hou; Jiashi Feng (IEEE Trans. Circuits Syst. Video Technol., 2022)

AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation. - Zhen Li 031; Zuo-Liang Zhu; Linghao Han; Qibin Hou; Chun-Le Guo; Ming-Ming Cheng (CVPR, 2023)

Large Selective Kernel Network for Remote Sensing Object Detection. - Yuxuan Li 004; Qibin Hou; Zhaohui Zheng 003; Ming-Ming Cheng; Jian Yang 003; Xiang Li 041 (ICCV, 2023)

SRFormer: Permuted Self-Attention for Single Image Super-Resolution. - Yupeng Zhou; Zhen Li 031; Chun-Le Guo; Song Bai 001; Ming-Ming Cheng; Qibin Hou (ICCV, 2023)

Towards Spatial Equilibrium Object Detection. - Zhaohui Zheng 003; Yuming Chen; Qibin Hou; Xiang Li 041; Ming-Ming Cheng (CoRR, 2023)

CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition. - Chengze Lu; Xiaojie Jin; Zhicheng Huang 002; Qibin Hou; Ming-Ming Cheng; Jiashi Feng (CoRR, 2023)

StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing. - Senmao Li; Joost van de Weijer 001; Taihang Hu; Fahad Shahbaz Khan; Qibin Hou; Yaxing Wang; Jian Yang 003 (CoRR, 2023)

Delving Deeper into Data Scaling in Masked Image Modeling. - Cheng-Ze Lu; Xiaojie Jin; Qibin Hou; Jun Hao Liew; Ming-Ming Cheng; Jiashi Feng (CoRR, 2023)

CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation. - Boyuan Sun 001; Yuqi Yang; Weifeng Yuan; Le Zhang 001; Ming-Ming Cheng; Qibin Hou (CoRR, 2023)

CrossKD: Cross-Head Knowledge Distillation for Dense Object Detection. - Jiabao Wang; Yuming Chen; Zhaohui Zheng 003; Xiang Li 041; Ming-Ming Cheng; Qibin Hou (CoRR, 2023)

YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection. - Yuming Chen; Xinbin Yuan; Ruiqi Wu; Jiabao Wang; Qibin Hou; Ming-Ming Cheng (CoRR, 2023)

MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask. - Yupeng Zhou; Daquan Zhou; Zuo-Liang Zhu; Yaxing Wang; Qibin Hou; Jiashi Feng (CoRR, 2023)

ChatAnything: Facetime Chat with LLM-Enhanced Personas. - Yilin Zhao; Xinbin Yuan; Shanghua Gao; Zhijie Lin 001; Qibin Hou; Jiashi Feng; Daquan Zhou (CoRR, 2023)

A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation. - Yunheng Li; Zhong-Yu Li 006; Shanghua Gao; Qilong Wang 001; Qibin Hou; Ming-Ming Cheng (CoRR, 2023)

PoolNet+: Exploring the Potential of Pooling for Salient Object Detection. - Jiang-Jiang Liu 001; Qibin Hou; Zhi-Ang Liu; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition. - Qibin Hou; Zihang Jiang; Li Yuan 007; Ming-Ming Cheng; Shuicheng Yan; Jiashi Feng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

VOLO: Vision Outlooker for Visual Recognition. - Li Yuan 007; Qibin Hou; Zihang Jiang; Jiashi Feng; Shuicheng Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Localization Distillation for Object Detection. - Zhaohui Zheng 003; Rongguang Ye; Qibin Hou; Dongwei Ren; Ping Wang 072; Wangmeng Zuo; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Token Selection is a Simple Booster for Vision Transformers. - Daquan Zhou; Qibin Hou; Linjie Yang; Xiaojie Jin; Jiashi Feng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Polyper: Boundary Sensitive Polyp Segmentation. - Hao Shao; Yang Zhang; Qibin Hou (AAAI, 2024)

Traffic Scene Parsing Through the TSP6K Dataset. - Peng-Tao Jiang; Yuqi Yang; Yang Cao 017; Qibin Hou; Ming-Ming Cheng; Chunhua Shen (CVPR, 2024)

CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation. - Boyuan Sun 001; Yuqi Yang; Le Zhang 001; Ming-Ming Cheng; Qibin Hou (CVPR, 2024)

CrossKD: Cross-Head Knowledge Distillation for Object Detection. - Jiabao Wang; Yuming Chen; Zhaohui Zheng 003; Xiang Li 041; Ming-Ming Cheng; Qibin Hou (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 130 (CVPR, 2024)

TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes. - Xuying Zhang; Bowen Yin; Yuming Chen; Zheng Lin 005; Yunheng Li; Qibin Hou; Ming-Ming Cheng (CVPR, 2024)

Towards Stable 3D Object Detection. - Jiabao Wang; Qiang Meng; Guochao Liu; Liujiang Yan; Ke Wang; Ming-Ming Cheng; Qibin Hou (ECCV (50), 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 001; Taihang Hu; Fahad Shahbaz Khan; Qibin Hou; Yaxing Wang; Jian Yang 003 (ICLR, 2024)

DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation. - Bowen Yin; Xuying Zhang; Zhong-Yu Li 006; Li Liu 002; Ming-Ming Cheng; Qibin Hou (ICLR, 2024)

Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation. - Yunheng Li; Zhong-Yu Li 006; Quan-Sheng Zeng; Qibin Hou; Ming-Ming Cheng (ICML, 2024)

SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection. - Yuxuan Li 004; Xiang Li 041; Weijie Li; Qibin Hou; Li Liu 004; Ming-Ming Cheng; Jian Yang 003 (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 (NeurIPS, 2024)

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

Sora Generates Videos with Stunning Geometrical Consistency. - Xuan-Yi Li; Daquan Zhou; Chenxu Zhang; Shaodong Wei; Qibin Hou; Ming-Ming Cheng (CoRR, 2024)

ClearSR: Latent Low-Resolution Image Embeddings Help Diffusion-Based Real-World Super Resolution Models See Clearer. - Yuhao Wan; Peng-Tao Jiang; Qibin Hou; Hao Zhang 063; Jinwei Chen; Ming-Ming Cheng; Bo Li 115 (CoRR, 2024)

DenseVLM: A Retrieval and Decoupled Alignment Framework for Open-Vocabulary Dense Prediction. - Yunheng Li; Yuxuan Li 004; Quansheng Zeng; Wenhai Wang; Qibin Hou; Ming-Ming Cheng (CoRR, 2024)

MaskCLIP++: A Mask-Based CLIP Fine-tuning Framework for Open-Vocabulary Image Segmentation. - Quan-Sheng Zeng; Yunheng Li; Daquan Zhou; Guanbin Li; Qibin Hou; Ming-Ming Cheng (CoRR, 2024)

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction. - Xuying Zhang; Yutong Liu; Yangguang Li 001; Renrui Zhang; Yufei Liu; Kai Wang 001; Wanli Ouyang; Zhiwei Xiong; Peng Gao 007; Qibin Hou; Ming-Ming Cheng (CoRR, 2024)

SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection. - Yuxuan Li 004; Xiang Li 041; Yunheng Li; Yicheng Zhang; Yimian Dai; Qibin Hou; Ming-Ming Cheng; Jian Yang 003 (CoRR, 2024)

Contrastive Masked Autoencoders are Stronger Vision Learners. - Zhicheng Huang 002; Xiaojie Jin; Chengze Lu; Qibin Hou; Ming-Ming Cheng; Dongmei Fu; Xiaohui Shen; Jiashi Feng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Dual Frequency Transformer for Efficient SDR-to-HDR Translation. - Gang Xu; Qibin Hou; Ming-Ming Cheng (Mach. Intell. Res., 2024)

Deep negative correlation classification. - Le Zhang 001; Qibin Hou; Yun Liu 011; Jia-Wang Bian; Xun Xu 002; Joey Tianyi Zhou; Ce Zhu (Mach. Learn., 2024)

Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition. - Qibin Hou; Cheng-Ze Lu; Ming-Ming Cheng; Jiashi Feng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

CamoFormer: Masked Separable Attention for Camouflaged Object Detection. - Bowen Yin; Xuying Zhang; Deng-Ping Fan; Shaohui Jiao; Ming-Ming Cheng; Luc Van Gool; Qibin Hou (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Zone Evaluation: Revealing Spatial Bias in Object Detection. - Zhaohui Zheng 003; Yuming Chen; Qibin Hou; Xiang Li 041; Ping Wang 072; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Docopilot: Improving Multimodal Models for Document-Level Understanding. - Yuchen Duan; Zhe Chen 017; Yusong Hu; Weiyun Wang; Shenglong Ye; Botian Shi; Lewei Lu; Qibin Hou; Tong Lu; Hongsheng Li 001; Jifeng Dai; Wenhai Wang (CVPR, 2025)

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

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

DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation. - Bowen Yin; Jiao-Long Cao; Ming-Ming Cheng; Qibin Hou (CVPR, 2025)

Re-Aligning Language to Visual Objects with an Agentic Workflow. - Yuming Chen; Jiangyan Feng; Haodong Zhang; Lijun Gong; Feng Zhu 006; Rui Zhao 001; Qibin Hou; Ming-Ming Cheng; Yibing Song (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 (ICLR, 2025)

Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection. - Xinbin Yuan; Zhaohui Zheng 003; Yuxuan Li 004; Xialei Liu; Li Liu 004; Xiang Li 041; Qibin Hou; Ming-Ming Cheng (CoRR, 2025)

LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding. - Jiaxing Zhao; Boyuan Sun 001; Xiang Chen; Xihan Wei; Qibin Hou (CoRR, 2025)

Correction to: Deep negative correlation classification. - Le Zhang 001; Qibin Hou; Yun Liu 011; Jia-Wang Bian; Xun Xu 002; Joey Tianyi Zhou; Ce Zhu (Mach. Learn., 2025)

Reformulating Classification as Image-Class Matching for Class Incremental Learning. - Yusong Hu; Zichen Liang; Xialei Liu; Qibin Hou; Ming-Ming Cheng (IEEE Trans. Circuits Syst. Video Technol., 2025)

Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT. - Dongyang Liu; Shicheng Li; Yutong Liu; Zhen Li; Kai Wang; Xinyue Li; Qi Qin; Yufei Liu; Yi Xin; Zhongyu Li 006; Bin Fu; Chenyang Si; et al. (CoRR, 2025)

AR-1-to-3: Single Image to Consistent 3D Object Generation via Next-View Prediction. - Xuying Zhang; Yupeng Zhou; Kai Wang 001; Yikai Wang; Zhen Li 031; Xiuli Shao; Daquan Zhou; Qibin Hou; Ming-Ming Cheng (CoRR, 2025)

LSKNet: A Foundation Lightweight Backbone for Remote Sensing. - Yuxuan Li 004; Xiang Li 041; Yimain Dai; Qibin Hou; Li Liu 004; Yongxiang Liu; Ming-Ming Cheng; Jian Yang 003 (Int. J. Comput. Vis., 2025)

Fast Window-Based Event Denoising With Spatiotemporal Correlation Enhancement. - Huachen Fang; Jinjian Wu; Qibin Hou; Weisheng Dong; Guangming Shi (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

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 026 (CoRR, 2025)

MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask. - Yupeng Zhou; Daquan Zhou; Yaxing Wang; Jiashi Feng; Qibin Hou (Int. J. Comput. Vis., 2025)

Referring Camouflaged Object Detection. - Xuying Zhang; Bowen Yin; Zheng Lin 005; Qibin Hou; Deng-Ping Fan; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

MedSeg-R: Medical Image Segmentation with Clinical Reasoning. - Hao Shao; Qibin Hou (CoRR, 2025)

LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs. - Boyuan Sun 001; Jiaxing Zhao; Xihan Wei; Qibin Hou (CoRR, 2025)

MCANet: Medical Image Segmentation with Multi-scale Cross-axis Attention. - Hao Shao; Quansheng Zeng; Qibin Hou; Jufeng Yang (Mach. Intell. Res., 2025)

YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-Time Object Detection. - Yuming Chen; Xinbin Yuan; Jiabao Wang; Ruiqi Wu; Xiang Li 041; Qibin Hou; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Depth Anything at Any Condition. - Boyuan Sun 001; Modi Jin; Bowen Yin; Qibin Hou (CoRR, 2025)

Camouflaged Object Detection with Adaptive Partition and Background Retrieval. - Bowen Yin; Xuying Zhang; Li Liu 002; Ming-Ming Cheng; Yongxiang Liu; Qibin Hou (Int. J. Comput. Vis., 2025)

A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models. - Quan-Sheng Zeng; Yunheng Li; Qilong Wang 001; Peng-Tao Jiang; Zuxuan Wu; Ming-Ming Cheng; Qibin Hou (CoRR, 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 (CoRR, 2025)

OneVAE: Joint Discrete and Continuous Optimization Helps Discrete Video VAE Train Better. - Yupeng Zhou; Zhen Li; Ziheng Ouyang; Yuming Chen; Ruoyi Du; Daquan Zhou; Bin Fu; Yihao Liu; Peng Gao 007; Ming-Ming Cheng; Qibin Hou (CoRR, 2025)