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2020 – today
- 2024
- [j22]Gang Xu, Qibin Hou, Ming-Ming Cheng:
Dual Frequency Transformer for Efficient SDR-to-HDR Translation. Mach. Intell. Res. 21(3): 538-548 (2024) - [j21]Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu:
Deep negative correlation classification. Mach. Learn. 113(10): 7223-7241 (2024) - [j20]Zhicheng Huang, Xiaojie Jin, Chengze Lu, Qibin Hou, Ming-Ming Cheng, Dongmei Fu, Xiaohui Shen, Jiashi Feng:
Contrastive Masked Autoencoders are Stronger Vision Learners. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2506-2517 (2024) - [c38]Hao Shao, Yang Zhang, Qibin Hou:
Polyper: Boundary Sensitive Polyp Segmentation. AAAI 2024: 4731-4739 - [c37]Boyuan Sun, Yuqi Yang, Le Zhang, Ming-Ming Cheng, Qibin Hou:
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation. CVPR 2024: 3097-3107 - [c36]Jiabao Wang, Yuming Chen, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou:
CrossKD: Cross-Head Knowledge Distillation for Object Detection. CVPR 2024: 16520-16530 - [c35]Xuying Zhang, Bowen Yin, Yuming Chen, Zheng Lin, Yunheng Li, Qibin Hou, Ming-Ming Cheng:
TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes. CVPR 2024: 19531-19540 - [c34]Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen:
Traffic Scene Parsing Through the TSP6K Dataset. CVPR 2024: 21874-21885 - [c33]Yuqi Yang, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Bo Li:
Multi-Task Dense Prediction via Mixture of Low-Rank Experts. CVPR 2024: 27927-27937 - [c32]Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang:
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models. ICLR 2024 - [c31]Bowen Yin, Xuying Zhang, Zhong-Yu Li, Li Liu, Ming-Ming Cheng, Qibin Hou:
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation. ICLR 2024 - [c30]Yunheng Li, Zhongyu Li, Quansheng Zeng, Qibin Hou, Ming-Ming Cheng:
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation. ICML 2024 - [i64]Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang:
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models. CoRR abs/2402.05375 (2024) - [i63]Huachen Fang, Jinjian Wu, Qibin Hou, Weisheng Dong, Guangming Shi:
Fast Window-Based Event Denoising with Spatiotemporal Correlation Enhancement. CoRR abs/2402.09270 (2024) - [i62]Xuan-Yi Li, Daquan Zhou, Chenxu Zhang, Shaodong Wei, Qibin Hou, Ming-Ming Cheng:
Sora Generates Videos with Stunning Geometrical Consistency. CoRR abs/2402.17403 (2024) - [i61]Yuxuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu, Ming-Ming Cheng, Jian Yang:
SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection. CoRR abs/2403.06534 (2024) - [i60]Yuxuan Li, Xiang Li, Yimain Dai, Qibin Hou, Li Liu, Yongxiang Liu, Ming-Ming Cheng, Jian Yang:
LSKNet: A Foundation Lightweight Backbone for Remote Sensing. CoRR abs/2403.11735 (2024) - [i59]Yuqi Yang, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Bo Li:
Multi-Task Dense Prediction via Mixture of Low-Rank Experts. CoRR abs/2403.17749 (2024) - [i58]Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou:
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation. CoRR abs/2405.01434 (2024) - [i57]Yunheng Li, Zhongyu Li, Quansheng Zeng, Qibin Hou, Ming-Ming Cheng:
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation. CoRR abs/2406.00670 (2024) - [i56]Jiabao Wang, Qiang Meng, Guochao Liu, Liujiang Yan, Ke Wang, Ming-Ming Cheng, Qibin Hou:
Towards Stable 3D Object Detection. CoRR abs/2407.04305 (2024) - [i55]Jiabao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang, Jie Yang, Wei Liu, Qibin Hou, Ming-Ming Cheng:
OPUS: Occupancy Prediction Using a Sparse Set. CoRR abs/2409.09350 (2024) - 2023
- [j19]Jiang-Jiang Liu, Qibin Hou, Zhi-Ang Liu, Ming-Ming Cheng:
PoolNet+: Exploring the Potential of Pooling for Salient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 887-904 (2023) - [j18]Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng:
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1328-1334 (2023) - [j17]Li Yuan, Qibin Hou, Zihang Jiang, Jiashi Feng, Shuicheng Yan:
VOLO: Vision Outlooker for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6575-6586 (2023) - [j16]Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng:
Localization Distillation for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10070-10083 (2023) - [j15]Daquan Zhou, Qibin Hou, Linjie Yang, Xiaojie Jin, Jiashi Feng:
Token Selection is a Simple Booster for Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12738-12746 (2023) - [c29]Zhen Li, Zuo-Liang Zhu, Linghao Han, Qibin Hou, Chun-Le Guo, Ming-Ming Cheng:
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation. CVPR 2023: 9801-9810 - [c28]Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou:
SRFormer: Permuted Self-Attention for Single Image Super-Resolution. ICCV 2023: 12734-12745 - [c27]Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li:
Large Selective Kernel Network for Remote Sensing Object Detection. ICCV 2023: 16748-16759 - [i54]Zhaohui Zheng, Yuming Chen, Qibin Hou, Xiang Li, Ming-Ming Cheng:
Towards Spatial Equilibrium Object Detection. CoRR abs/2301.05957 (2023) - [i53]Chengze Lu, Xiaojie Jin, Zhicheng Huang, Qibin Hou, Ming-Ming Cheng, Jiashi Feng:
CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition. CoRR abs/2301.06018 (2023) - [i52]Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen:
Traffic Scene Parsing through the TSP6K Dataset. CoRR abs/2303.02835 (2023) - [i51]Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li:
Large Selective Kernel Network for Remote Sensing Object Detection. CoRR abs/2303.09030 (2023) - [i50]Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou:
SRFormer: Permuted Self-Attention for Single Image Super-Resolution. CoRR abs/2303.09735 (2023) - [i49]Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang:
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing. CoRR abs/2303.15649 (2023) - [i48]Zhen Li, Zuo-Liang Zhu, Linghao Han, Qibin Hou, Chun-Le Guo, Ming-Ming Cheng:
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation. CoRR abs/2304.09790 (2023) - [i47]Cheng-Ze Lu, Xiaojie Jin, Qibin Hou, Jun Hao Liew, Ming-Ming Cheng, Jiashi Feng:
Delving Deeper into Data Scaling in Masked Image Modeling. CoRR abs/2305.15248 (2023) - [i46]Boyuan Sun, Yuqi Yang, Weifeng Yuan, Le Zhang, Ming-Ming Cheng, Qibin Hou:
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation. CoRR abs/2306.04300 (2023) - [i45]Xuying Zhang, Bowen Yin, Zheng Lin, Qibin Hou, Deng-Ping Fan, Ming-Ming Cheng:
Referring Camouflaged Object Detection. CoRR abs/2306.07532 (2023) - [i44]Jiabao Wang, Yuming Chen, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou:
CrossKD: Cross-Head Knowledge Distillation for Dense Object Detection. CoRR abs/2306.11369 (2023) - [i43]Yuming Chen, Xinbin Yuan, Ruiqi Wu, Jiabao Wang, Qibin Hou, Ming-Ming Cheng:
YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection. CoRR abs/2308.05480 (2023) - [i42]Yupeng Zhou, Daquan Zhou, Zuo-Liang Zhu, Yaxing Wang, Qibin Hou, Jiashi Feng:
MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask. CoRR abs/2309.04399 (2023) - [i41]Bowen Yin, Xuying Zhang, Zhongyu Li, Li Liu, Ming-Ming Cheng, Qibin Hou:
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation. CoRR abs/2309.09668 (2023) - [i40]Zhaohui Zheng, Yuming Chen, Qibin Hou, Xiang Li, Ping Wang, Ming-Ming Cheng:
Zone Evaluation: Revealing Spatial Bias in Object Detection. CoRR abs/2310.13215 (2023) - [i39]Yilin Zhao, Xinbin Yuan, Shanghua Gao, Zhijie Lin, Qibin Hou, Jiashi Feng, Daquan Zhou:
ChatAnything: Facetime Chat with LLM-Enhanced Personas. CoRR abs/2311.06772 (2023) - [i38]Xuying Zhang, Bowen Yin, Yuming Chen, Zheng Lin, Yunheng Li, Qibin Hou, Ming-Ming Cheng:
TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes. CoRR abs/2312.04248 (2023) - [i37]Yunheng Li, Zhongyu Li, Shanghua Gao, Qilong Wang, Qibin Hou, Ming-Ming Cheng:
A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation. CoRR abs/2312.05830 (2023) - [i36]Hao Shao, Yang Zhang, Qibin Hou:
Polyper: Boundary Sensitive Polyp Segmentation. CoRR abs/2312.08735 (2023) - [i35]Hao Shao, Quansheng Zeng, Qibin Hou, Jufeng Yang:
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention. CoRR abs/2312.08866 (2023) - 2022
- [j14]Peng-Tao Jiang, Linghao Han, Qibin Hou, Ming-Ming Cheng, Yunchao Wei:
Online Attention Accumulation for Weakly Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7062-7077 (2022) - [j13]Zun Li, Congyan Lang, Liqian Liang, Jian Zhao, Songhe Feng, Qibin Hou, Jiashi Feng:
Dense Attentive Feature Enhancement for Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8128-8141 (2022) - [c26]Zhaohui Zheng, Rongguang Ye, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou, Ming-Ming Cheng:
Localization Distillation for Dense Object Detection. CVPR 2022: 9397-9406 - [c25]Peng-Tao Jiang, Yuqi Yang, Qibin Hou, Yunchao Wei:
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation. CVPR 2022: 16865-16875 - [c24]Gang Xu, Qibin Hou, Le Zhang, Ming-Ming Cheng:
FMNet: Frequency-Aware Modulation Network for SDR-to-HDR Translation. ACM Multimedia 2022: 6425-6435 - [c23]Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou, Zhengning Liu, Ming-Ming Cheng, Shi-Min Hu:
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation. NeurIPS 2022 - [i34]Peng-Tao Jiang, Yuqi Yang, Qibin Hou, Yunchao Wei:
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation. CoRR abs/2204.03206 (2022) - [i33]Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng:
Localization Distillation for Object Detection. CoRR abs/2204.05957 (2022) - [i32]Zhicheng Huang, Xiaojie Jin, Chengze Lu, Qibin Hou, Ming-Ming Cheng, Dongmei Fu, Xiaohui Shen, Jiashi Feng:
Contrastive Masked Autoencoders are Stronger Vision Learners. CoRR abs/2207.13532 (2022) - [i31]Meng-Hao Guo, Chengze Lu, Qibin Hou, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu:
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation. CoRR abs/2209.08575 (2022) - [i30]Qibin Hou, Chengze Lu, Ming-Ming Cheng, Jiashi Feng:
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition. CoRR abs/2211.11943 (2022) - [i29]Bowen Yin, Xuying Zhang, Qibin Hou, Boyuan Sun, Deng-Ping Fan, Luc Van Gool:
CamoFormer: Masked Separable Attention for Camouflaged Object Detection. CoRR abs/2212.06570 (2022) - [i28]Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu:
Deep Negative Correlation Classification. CoRR abs/2212.07070 (2022) - 2021
- [j12]Zun Li, Congyan Lang, Jun Hao Liew, Yidong Li, Qibin Hou, Jiashi Feng:
Cross-Layer Feature Pyramid Network for Salient Object Detection. IEEE Trans. Image Process. 30: 4587-4598 (2021) - [j11]Peng-Tao Jiang, Chang-Bin Zhang, Qibin Hou, Ming-Ming Cheng, Yunchao Wei:
LayerCAM: Exploring Hierarchical Class Activation Maps for Localization. IEEE Trans. Image Process. 30: 5875-5888 (2021) - [j10]Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng:
Delving Deep Into Label Smoothing. IEEE Trans. Image Process. 30: 5984-5996 (2021) - [j9]Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen:
Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner. IEEE Trans. Image Process. 30: 9359-9371 (2021) - [c22]Weihao Yu, Zihang Jiang, Fei Chen, Qibin Hou, Jiashi Feng:
LV-BERT: Exploiting Layer Variety for BERT. ACL/IJCNLP (Findings) 2021: 13-27 - [c21]Qibin Hou, Daquan Zhou, Jiashi Feng:
Coordinate Attention for Efficient Mobile Network Design. CVPR 2021: 13713-13722 - [c20]Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng:
AutoSpace: Neural Architecture Search with Less Human Interference. ICCV 2021: 327-336 - [c19]Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng:
All Tokens Matter: Token Labeling for Training Better Vision Transformers. NeurIPS 2021: 18590-18602 - [c18]Diganta Misra, Trikay Nalamada, Ajay Uppili Arasanipalai, Qibin Hou:
Rotate to Attend: Convolutional Triplet Attention Module. WACV 2021: 3138-3147 - [i27]Qibin Hou, Daquan Zhou, Jiashi Feng:
Coordinate Attention for Efficient Mobile Network Design. CoRR abs/2103.02907 (2021) - [i26]Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng:
AutoSpace: Neural Architecture Search with Less Human Interference. CoRR abs/2103.11833 (2021) - [i25]Daquan Zhou, Bingyi Kang, Xiaojie Jin, Linjie Yang, Xiaochen Lian, Qibin Hou, Jiashi Feng:
DeepViT: Towards Deeper Vision Transformer. CoRR abs/2103.11886 (2021) - [i24]Yang Cao, Zhengqiang Zhang, Enze Xie, Qibin Hou, Kai Zhao, Xiangui Luo, Jian Tuo:
FakeMix Augmentation Improves Transparent Object Detection. CoRR abs/2103.13279 (2021) - [i23]Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Xiaojie Jin, Anran Wang, Jiashi Feng:
Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet. CoRR abs/2104.10858 (2021) - [i22]Daquan Zhou, Yujun Shi, Bingyi Kang, Weihao Yu, Zihang Jiang, Li Yuan, Xiaojie Jin, Qibin Hou, Jiashi Feng:
Refiner: Refining Self-attention for Vision Transformers. CoRR abs/2106.03714 (2021) - [i21]Weihao Yu, Zihang Jiang, Fei Chen, Qibin Hou, Jiashi Feng:
LV-BERT: Exploiting Layer Variety for BERT. CoRR abs/2106.11740 (2021) - [i20]Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng:
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition. CoRR abs/2106.12368 (2021) - [i19]Li Yuan, Qibin Hou, Zihang Jiang, Jiashi Feng, Shuicheng Yan:
VOLO: Vision Outlooker for Visual Recognition. CoRR abs/2106.13112 (2021) - 2020
- [j8]Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu:
S4Net: Single stage salient-instance segmentation. Comput. Vis. Media 6(2): 191-204 (2020) - [j7]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng:
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge, and Skeleton. IEEE Trans. Image Process. 29: 8652-8667 (2020) - [c17]Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng:
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. CVPR 2020: 4002-4011 - [c16]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Changhu Wang, Jiashi Feng:
Improving Convolutional Networks With Self-Calibrated Convolutions. CVPR 2020: 10093-10102 - [c15]Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
Rethinking Bottleneck Structure for Efficient Mobile Network Design. ECCV (3) 2020: 680-697 - [c14]Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng:
Neural Epitome Search for Architecture-Agnostic Network Compression. ICLR 2020 - [i18]Zun Li, Congyan Lang, Jun Hao Liew, Qibin Hou, Yidong Li, Jiashi Feng:
Cross-layer Feature Pyramid Network for Salient Object Detection. CoRR abs/2002.10864 (2020) - [i17]Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen, Shuicheng Yan, Jiashi Feng:
PANDA: Prototypical Unsupervised Domain Adaptation. CoRR abs/2003.13274 (2020) - [i16]Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng:
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. CoRR abs/2003.13328 (2020) - [i15]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng:
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton. CoRR abs/2004.08595 (2020) - [i14]Kuangqi Zhou, Qibin Hou, Zun Li, Jiashi Feng:
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation. CoRR abs/2006.07834 (2020) - [i13]Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
Rethinking Bottleneck Structure for Efficient Mobile Network Design. CoRR abs/2007.02269 (2020) - [i12]Diganta Misra, Trikay Nalamada, Ajay Uppili Arasanipalai, Qibin Hou:
Rotate to Attend: Convolutional Triplet Attention Module. CoRR abs/2010.03045 (2020) - [i11]Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng:
Delving Deep into Label Smoothing. CoRR abs/2011.12562 (2020)
2010 – 2019
- 2019
- [j6]Ali Borji, Ming-Ming Cheng, Qibin Hou, Huaizu Jiang, Jia Li:
Salient object detection: A survey. Comput. Vis. Media 5(2): 117-150 (2019) - [j5]Ruochen Fan, Xuanrun Wang, Qibin Hou, Hanchao Liu, Tai-Jiang Mu:
SpinNet: Spinning convolutional network for lane boundary detection. Comput. Vis. Media 5(4): 417-428 (2019) - [j4]Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr:
Deeply Supervised Salient Object Detection with Short Connections. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 815-828 (2019) - [c13]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang:
A Simple Pooling-Based Design for Real-Time Salient Object Detection. CVPR 2019: 3917-3926 - [c12]Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu:
S4Net: Single Stage Salient-Instance Segmentation. CVPR 2019: 6103-6112 - [c11]Peng-Tao Jiang, Qibin Hou, Yang Cao, Ming-Ming Cheng, Yunchao Wei, Hongkai Xiong:
Integral Object Mining via Online Attention Accumulation. ICCV 2019: 2070-2079 - [i10]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang:
A Simple Pooling-Based Design for Real-Time Salient Object Detection. CoRR abs/1904.09569 (2019) - [i9]Deng-Ping Fan, Zheng Lin, Jiaxing Zhao, Yun Liu, Zhao Zhang, Qibin Hou, Menglong Zhu, Ming-Ming Cheng:
Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks. CoRR abs/1907.06781 (2019) - 2018
- [j3]Jiaxing Zhao, Ren Bo, Qibin Hou, Ming-Ming Cheng, Paul L. Rosin:
FLIC: Fast linear iterative clustering with active search. Comput. Vis. Media 4(4): 333-348 (2018) - [c10]Jiaxing Zhao, Bo Ren, Qibin Hou, Ming-Ming Cheng, Paul L. Rosin:
FLIC: Fast Linear Iterative Clustering With Active Search. AAAI 2018: 7574-7581 - [c9]Deng-Ping Fan, Ming-Ming Cheng, Jiang-Jiang Liu, Shanghua Gao, Qibin Hou, Ali Borji:
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground. ECCV (15) 2018: 196-212 - [c8]Ruochen Fan, Qibin Hou, Ming-Ming Cheng, Gang Yu, Ralph R. Martin, Shi-Min Hu:
Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation. ECCV (9) 2018: 371-388 - [c7]Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng:
Self-Erasing Network for Integral Object Attention. NeurIPS 2018: 547-557 - [i8]Deng-Ping Fan, Jiang-Jiang Liu, Shanghua Gao, Qibin Hou, Ali Borji, Ming-Ming Cheng:
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground. CoRR abs/1803.06091 (2018) - [i7]Qibin Hou, Ming-Ming Cheng, Jiang-Jiang Liu, Philip H. S. Torr:
WebSeg: Learning Semantic Segmentation from Web Searches. CoRR abs/1803.09859 (2018) - [i6]Qibin Hou, Jiang-Jiang Liu, Ming-Ming Cheng, Ali Borji, Philip H. S. Torr:
Three Birds One Stone: A Unified Framework for Salient Object Segmentation, Edge Detection and Skeleton Extraction. CoRR abs/1803.09860 (2018) - [i5]Kai Zhao, Shanghua Gao, Qibin Hou, Dandan Li, Ming-Ming Cheng:
Optimizing the F-measure for Threshold-free Salient Object Detection. CoRR abs/1805.07567 (2018) - [i4]Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng:
Self-Erasing Network for Integral Object Attention. CoRR abs/1810.09821 (2018) - 2017
- [j2]Ming-Ming Cheng, Qibin Hou, Song-Hai Zhang, Paul L. Rosin:
Intelligent Visual Media Processing: When Graphics Meets Vision. J. Comput. Sci. Technol. 32(1): 110-121 (2017) - [c6]Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr:
Deeply Supervised Salient Object Detection with Short Connections. CVPR 2017: 5300-5309 - [c5]Qibin Hou, Daniela Massiceti, Puneet Kumar Dokania, Yunchao Wei, Ming-Ming Cheng, Philip H. S. Torr:
Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation. EMMCVPR 2017: 263-277 - [i3]Ruochen Fan, Qibin Hou, Ming-Ming Cheng, Tai-Jiang Mu, Shi-Min Hu:
S4Net: Single Stage Salient-Instance Segmentation. CoRR abs/1711.07618 (2017) - 2016
- [c4]Ming-Ming Cheng, Yun Liu, Qibin Hou, Jiawang Bian, Philip H. S. Torr, Shi-Min Hu, Zhuowen Tu:
HFS: Hierarchical Feature Selection for Efficient Image Segmentation. ECCV (3) 2016: 867-882 - [i2]Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr:
Deeply supervised salient object detection with short connections. CoRR abs/1611.04849 (2016) - [i1]Jia-Xin Zhao, Ren Bo, Qibin Hou, Ming-Ming Cheng:
FLIC: Fast Linear Iterative Clustering with Active Search. CoRR abs/1612.01810 (2016) - 2015
- [c3]Ziyi Dai, Zehua Pan, Yewei Wu, Linlin Shen, Qibin Hou:
Facial memorability prediction fusing geometric and texture features. ICIA 2015: 998-1002
2000 – 2009
- 2005
- [c2]Qibin Hou, Li Bai:
Line Feature Detection from 3D Point Clouds via Adaptive CS-RBFs Shape Reconstruction and Multistep Vertex Normal Manipulation. CGIV 2005: 79-83 - [c1]Qibin Hou, Li Bai, Yangsheng Wang:
Mesh Smoothing via Adaptive Bilateral Filtering. International Conference on Computational Science (2) 2005: 273-280 - 2003
- [j1]Xiaofan Yang, Qibin Hou, Xiangsheng Huang, Hengnong Xuan:
The difference between the domination number and the minus domination number of a cubic graph. Appl. Math. Lett. 16(7): 1089-1093 (2003)
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Unpaywalled article links
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Archived links via Wayback Machine
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Reference lists
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Citation data
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OpenAlex data
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last updated on 2024-11-07 21:36 CET by the dblp team
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