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2020 – today
- 2024
[j10]Haoyu He
, Jianfei Cai, Jing Liu, Zizheng Pan, Jing Zhang, Dacheng Tao, Bohan Zhuang:
Pruning Self-Attentions Into Convolutional Layers in Single Path. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3910-3922 (2024)- [c39]Mingyang Zhang, Hao Chen, Chunhua Shen, Zhen Yang, Linlin Ou, Xinyi Yu, Bohan Zhuang:
LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning. ACL (Findings) 2024: 3013-3026 - [c38]Xinyu Wang, Bohan Zhuang, Qi Wu:
ModaVerse: Efficiently Transforming Modalities with LLMs. CVPR 2024: 26596-26606 - [c37]Haoyu He, Zizheng Pan, Jing Liu, Jianfei Cai, Bohan Zhuang:
Efficient Stitchable Task Adaptation. CVPR 2024: 28555-28565 - [c36]Zeyu Zhang, Akide Liu, Ian D. Reid, Richard I. Hartley, Bohan Zhuang, Hao Tang:
Motion Mamba: Efficient and Long Sequence Motion Generation. ECCV (1) 2024: 265-282 - [c35]Yuetian Weng, Mingfei Han, Haoyu He, Xiaojun Chang, Bohan Zhuang:
LongVLM: Efficient Long Video Understanding via Large Language Models. ECCV (33) 2024: 453-470 - [c34]Zhen Yang, Ganggui Ding, Wen Wang, Hao Chen, Bohan Zhuang, Chunhua Shen:
Object-Aware Inversion and Reassembly for Image Editing. ICLR 2024 - [c33]Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang:
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models. ICLR 2024 - [c32]Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang:
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models. ICLR 2024 - [c31]Guoan Wang, Jin Ye, Junlong Cheng, Tianbin Li, Zhaolin Chen, Jianfei Cai, Junjun He, Bohan Zhuang:
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation. MICCAI (9) 2024: 552-561 - [i66]Xinyu Wang, Bohan Zhuang, Qi Wu:
ModaVerse: Efficiently Transforming Modalities with LLMs. CoRR abs/2401.06395 (2024) - [i65]Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar:
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching. CoRR abs/2402.14167 (2024) - [i64]Zeyu Zhang, Akide Liu, Ian D. Reid, Richard Hartley, Bohan Zhuang, Hao Tang:
Motion Mamba: Efficient and Long Sequence Motion Generation with Hierarchical and Bidirectional Selective SSM. CoRR abs/2403.07487 (2024) - [i63]Yuedong Chen, Haofei Xu, Chuanxia Zheng, Bohan Zhuang, Marc Pollefeys, Andreas Geiger, Tat-Jen Cham, Jianfei Cai:
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images. CoRR abs/2403.14627 (2024) - [i62]Yuetian Weng, Mingfei Han, Haoyu He, Xiaojun Chang, Bohan Zhuang:
LongVLM: Efficient Long Video Understanding via Large Language Models. CoRR abs/2404.03384 (2024) - [i61]Yefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou, Bohan Zhuang:
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification. CoRR abs/2405.14256 (2024) - [i60]Akide Liu, Jing Liu, Zizheng Pan, Yefei He, Gholamreza Haffari, Bohan Zhuang:
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models. CoRR abs/2405.14366 (2024) - [i59]Feng Chen, Zhen Yang, Bohan Zhuang, Qi Wu:
Streaming Video Diffusion: Online Video Editing with Diffusion Models. CoRR abs/2405.19726 (2024) - [i58]Jing Liu, Ruihao Gong, Mingyang Zhang, Yefei He, Jianfei Cai, Bohan Zhuang:
ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models. CoRR abs/2406.09041 (2024) - [i57]Guoan Wang, Jin Ye, Junlong Cheng, Tianbin Li, Zhaolin Chen, Jianfei Cai, Junjun He, Bohan Zhuang:
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation. CoRR abs/2407.04938 (2024) - [i56]Zeyu Zhang, Akide Liu, Qi Chen, Feng Chen, Ian Reid, Richard I. Hartley, Bohan Zhuang, Hao Tang:
InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation. CoRR abs/2407.10061 (2024) - [i55]Pengcheng Chen, Jin Ye, Guoan Wang, Yanjun Li, Zhongying Deng, Wei Li, Tianbin Li, Haodong Duan, Ziyan Huang, Yanzhou Su, Benyou Wang, Shaoting Zhang, Bin Fu, Jianfei Cai, Bohan Zhuang, Eric J. Seibel, Junjun He, Yu Qiao:
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI. CoRR abs/2408.03361 (2024) - [i54]Sanuwani Dayarathna, Kh Tohidul Islam, Bohan Zhuang, Guang Yang, Jianfei Cai, Meng Law, Zhaolin Chen:
McCaD: Multi-Contrast MRI Conditioned, Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesis. CoRR abs/2409.00585 (2024) - 2023
- [j9]Jing Liu, Bohan Zhuang, Peng Chen, Chunhua Shen, Jianfei Cai, Mingkui Tan:
Single-Path Bit Sharing for Automatic Loss-Aware Model Compression. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12459-12473 (2023) - [j8]Haoyu He, Jing Zhang, Bohan Zhuang, Jianfei Cai, Dacheng Tao:
End-to-End One-Shot Human Parsing. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14481-14496 (2023) - [j7]Shoukai Xu, Shuhai Zhang, Jing Liu, Bohan Zhuang, Yaowei Wang, Mingkui Tan:
Generative Data Free Model Quantization With Knowledge Matching for Classification. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7296-7309 (2023) - [c30]Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang:
Dynamic Focus-aware Positional Queries for Semantic Segmentation. CVPR 2023: 11299-11308 - [c29]Zizheng Pan, Jianfei Cai, Bohan Zhuang:
Stitchable Neural Networks. CVPR 2023: 16102-16112 - [c28]Yefei He, Zhenyu Lou, Luoming Zhang, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang:
BiViT: Extremely Compressed Binary Vision Transformers. ICCV 2023: 5628-5640 - [c27]Haoyu He, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang:
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning. ICCV 2023: 11791-11801 - [c26]Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen:
A Survey on Efficient Training of Transformers. IJCAI 2023: 6823-6831 - [c25]Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas H. Li, Bohan Zhuang, Mingkui Tan:
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction. NeurIPS 2023 - [c24]Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang:
PTQD: Accurate Post-Training Quantization for Diffusion Models. NeurIPS 2023 - [c23]Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang:
Mask Propagation for Efficient Video Semantic Segmentation. NeurIPS 2023 - [i53]Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen:
A Survey on Efficient Training of Transformers. CoRR abs/2302.01107 (2023) - [i52]Zizheng Pan, Jianfei Cai, Bohan Zhuang:
Stitchable Neural Networks. CoRR abs/2302.06586 (2023) - [i51]Haoyu He, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang:
Sensitivity-Aware Visual Parameter-Efficient Tuning. CoRR abs/2303.08566 (2023) - [i50]Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang:
PTQD: Accurate Post-Training Quantization for Diffusion Models. CoRR abs/2305.10657 (2023) - [i49]Mingyang Zhang, Hao Chen, Chunhua Shen, Zhen Yang, Linlin Ou, Xinyi Yu, Bohan Zhuang:
Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning. CoRR abs/2305.18403 (2023) - [i48]Zizheng Pan, Jing Liu, Haoyu He, Jianfei Cai, Bohan Zhuang:
Stitched ViTs are Flexible Vision Backbones. CoRR abs/2307.00154 (2023) - [i47]Xinyu Wang, Bohan Zhuang, Qi Wu:
SwitchGPT: Adapting Large Language Models for Non-Text Outputs. CoRR abs/2309.07623 (2023) - [i46]Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang:
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models. CoRR abs/2310.03270 (2023) - [i45]Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang:
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models. CoRR abs/2310.08041 (2023) - [i44]Zhen Yang, Dinggang Gui, Wen Wang, Hao Chen, Bohan Zhuang, Chunhua Shen:
Object-aware Inversion and Reassembly for Image Editing. CoRR abs/2310.12149 (2023) - [i43]Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang:
Mask Propagation for Efficient Video Semantic Segmentation. CoRR abs/2310.18954 (2023) - [i42]Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas H. Li, Bohan Zhuang, Mingkui Tan:
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction. CoRR abs/2310.19011 (2023) - [i41]Haoyu He, Zizheng Pan, Jing Liu, Jianfei Cai, Bohan Zhuang:
Efficient Stitchable Task Adaptation. CoRR abs/2311.17352 (2023) - 2022
- [j6]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Peng Chen, Lingqiao Liu, Ian Reid:
Structured Binary Neural Networks for Image Recognition. Int. J. Comput. Vis. 130(9): 2081-2102 (2022) - [j5]Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan:
Discrimination-Aware Network Pruning for Deep Model Compression. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4035-4051 (2022) - [j4]Bohan Zhuang, Mingkui Tan, Jing Liu, Lingqiao Liu, Ian Reid, Chunhua Shen:
Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6140-6152 (2022) - [j3]Chunlei Liu, Wenrui Ding, Peng Chen, Bohan Zhuang, Yufeng Wang, Yang Zhao, Baochang Zhang, Yuqi Han:
RB-Net: Training Highly Accurate and Efficient Binary Neural Networks With Reshaped Point-Wise Convolution and Balanced Activation. IEEE Trans. Circuits Syst. Video Technol. 32(9): 6414-6424 (2022) - [c22]Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai:
Less Is More: Pay Less Attention in Vision Transformers. AAAI 2022: 2035-2043 - [c21]Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang:
Automated Progressive Learning for Efficient Training of Vision Transformers. CVPR 2022: 12476-12486 - [c20]Yuetian Weng, Zizheng Pan, Mingfei Han, Xiaojun Chang, Bohan Zhuang:
An Efficient Spatio-Temporal Pyramid Transformer for Action Detection. ECCV (34) 2022: 358-375 - [c19]Jing Liu, Zizheng Pan, Haoyu He, Jianfei Cai, Bohan Zhuang:
EcoFormer: Energy-Saving Attention with Linear Complexity. NeurIPS 2022 - [c18]Zizheng Pan, Jianfei Cai, Bohan Zhuang:
Fast Vision Transformers with HiLo Attention. NeurIPS 2022 - [i40]Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang:
Automated Progressive Learning for Efficient Training of Vision Transformers. CoRR abs/2203.14509 (2022) - [i39]Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang:
Dynamic Focus-aware Positional Queries for Semantic Segmentation. CoRR abs/2204.01244 (2022) - [i38]Zizheng Pan, Jianfei Cai, Bohan Zhuang:
Fast Vision Transformers with HiLo Attention. CoRR abs/2205.13213 (2022) - [i37]Yuetian Weng, Zizheng Pan, Mingfei Han, Xiaojun Chang, Bohan Zhuang:
An Efficient Spatio-Temporal Pyramid Transformer for Action Detection. CoRR abs/2207.10448 (2022) - [i36]Jing Liu, Jianfei Cai, Bohan Zhuang:
FocusFormer: Focusing on What We Need via Architecture Sampler. CoRR abs/2208.10861 (2022) - [i35]Jing Liu, Zizheng Pan, Haoyu He, Jianfei Cai, Bohan Zhuang:
EcoFormer: Energy-Saving Attention with Linear Complexity. CoRR abs/2209.09004 (2022) - [i34]Yefei He, Zhenyu Lou, Luoming Zhang, Weijia Wu, Bohan Zhuang, Hong Zhou:
BiViT: Extremely Compressed Binary Vision Transformer. CoRR abs/2211.07091 (2022) - 2021
- [c17]Chunlei Liu, Peng Chen, Bohan Zhuang, Chunhua Shen, Baochang Zhang, Wenrui Ding:
SA-BNN: State-Aware Binary Neural Network. AAAI 2021: 2091-2099 - [c16]Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, Chunhua Shen:
AQD: Towards Accurate Quantized Object Detection. CVPR 2021: 104-113 - [c15]Zizheng Pan, Bohan Zhuang, Jing Liu, Haoyu He, Jianfei Cai:
Scalable Vision Transformers with Hierarchical Pooling. ICCV 2021: 367-376 - [c14]Peng Chen, Bohan Zhuang, Chunhua Shen:
FATNN: Fast and Accurate Ternary Neural Networks*. ICCV 2021: 5199-5208 - [c13]Hu Wang, Peng Chen, Bohan Zhuang, Chunhua Shen:
Fully Quantized Image Super-Resolution Networks. ACM Multimedia 2021: 639-647 - [i33]Jing Liu, Bohan Zhuang, Peng Chen, Yong Guo, Chunhua Shen, Jianfei Cai, Mingkui Tan:
ABS: Automatic Bit Sharing for Model Compression. CoRR abs/2101.04935 (2021) - [i32]Zizheng Pan, Bohan Zhuang, Jing Liu, Haoyu He, Jianfei Cai:
Scalable Visual Transformers with Hierarchical Pooling. CoRR abs/2103.10619 (2021) - [i31]Haoyu He, Jing Zhang, Bohan Zhuang, Jianfei Cai, Dacheng Tao:
End-to-end One-shot Human Parsing. CoRR abs/2105.01241 (2021) - [i30]Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai:
Less is More: Pay Less Attention in Vision Transformers. CoRR abs/2105.14217 (2021) - [i29]Jing Liu, Bohan Zhuang, Mingkui Tan, Xu Liu, Dinh Phung, Yuanqing Li, Jianfei Cai:
Elastic Architecture Search for Diverse Tasks with Different Resources. CoRR abs/2108.01224 (2021) - [i28]Zizheng Pan, Peng Chen, Haoyu He, Jing Liu, Jianfei Cai, Bohan Zhuang:
Mesa: A Memory-saving Training Framework for Transformers. CoRR abs/2111.11124 (2021) - [i27]Haoyu He, Jing Liu, Zizheng Pan, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang:
Pruning Self-attentions into Convolutional Layers in Single Path. CoRR abs/2111.11802 (2021) - [i26]Jing Liu, Jianfei Cai, Bohan Zhuang:
Sharpness-aware Quantization for Deep Neural Networks. CoRR abs/2111.12273 (2021) - 2020
- [c12]Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid:
Training Quantized Neural Networks With a Full-Precision Auxiliary Module. CVPR 2020: 1485-1494 - [c11]Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan:
Generative Low-Bitwidth Data Free Quantization. ECCV (12) 2020: 1-17 - [i25]Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan:
Discrimination-aware Network Pruning for Deep Model Compression. CoRR abs/2001.01050 (2020) - [i24]Luis Guerra, Bohan Zhuang, Ian D. Reid, Tom Drummond:
Automatic Pruning for Quantized Neural Networks. CoRR abs/2002.00523 (2020) - [i23]Luis Guerra, Bohan Zhuang, Ian Reid, Tom Drummond:
Switchable Precision Neural Networks. CoRR abs/2002.02815 (2020) - [i22]Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan:
Generative Low-bitwidth Data Free Quantization. CoRR abs/2003.03603 (2020) - [i21]Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong:
Role-Wise Data Augmentation for Knowledge Distillation. CoRR abs/2004.08861 (2020) - [i20]Jing Liu, Bohan Zhuang, Peng Chen, Mingkui Tan, Chunhua Shen:
AQD: Towards Accurate Quantized Object Detection. CoRR abs/2007.06919 (2020) - [i19]Peng Chen, Bohan Zhuang, Chunhua Shen:
FATNN: Fast and Accurate Ternary Neural Networks. CoRR abs/2008.05101 (2020) - [i18]Hu Wang, Peng Chen, Bohan Zhuang, Chunhua Shen:
Fully Quantized Image Super-Resolution Networks. CoRR abs/2011.14265 (2020)
2010 – 2019
- 2019
- [c10]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. CVPR 2019: 413-422 - [c9]Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo:
Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. IJCAI 2019: 854-860 - [i17]Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid:
Training Quantized Network with Auxiliary Gradient Module. CoRR abs/1903.11236 (2019) - [i16]Bohan Zhuang, Jing Liu, Mingkui Tan, Lingqiao Liu, Ian D. Reid, Chunhua Shen:
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations. CoRR abs/1908.04680 (2019) - [i15]Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo:
RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. CoRR abs/1908.07748 (2019) - [i14]Yifan Liu, Bohan Zhuang, Chunhua Shen, Hao Chen, Wei Yin:
Training Compact Neural Networks via Auxiliary Overparameterization. CoRR abs/1909.02214 (2019) - [i13]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Image Recognition. CoRR abs/1909.09934 (2019) - 2018
- [c8]Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection. AAAI 2018: 7631-7638 - [c7]Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries. CVPR 2018: 4252-4261 - [c6]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Towards Effective Low-Bitwidth Convolutional Neural Networks. CVPR 2018: 7920-7928 - [c5]Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu:
Discrimination-aware Channel Pruning for Deep Neural Networks. NeurIPS 2018: 883-894 - [i12]Bohan Zhuang, Chunhua Shen, Ian D. Reid:
Training Compact Neural Networks with Binary Weights and Low Precision Activations. CoRR abs/1808.02631 (2018) - [i11]Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu:
Discrimination-aware Channel Pruning for Deep Neural Networks. CoRR abs/1810.11809 (2018) - [i10]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. CoRR abs/1811.10413 (2018) - 2017
- [c4]Bohan Zhuang, Lingqiao Liu, Yao Li, Chunhua Shen, Ian D. Reid:
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data. CVPR 2017: 2915-2924 - [c3]Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Sequential Person Recognition in Photo Albums with a Recurrent Network. CVPR 2017: 5660-5668 - [c2]Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid:
Towards Context-Aware Interaction Recognition for Visual Relationship Detection. ICCV 2017: 589-598 - [i9]Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid:
Towards Context-aware Interaction Recognition. CoRR abs/1703.06246 (2017) - [i8]Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Care about you: towards large-scale human-centric visual relationship detection. CoRR abs/1705.09892 (2017) - [i7]Hao Lu, Zhiguo Cao, Yang Xiao, Bohan Zhuang, Chunhua Shen:
TasselNet: Counting maize tassels in the wild via local counts regression network. CoRR abs/1707.02290 (2017) - [i6]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Towards Effective Low-bitwidth Convolutional Neural Networks. CoRR abs/1711.00205 (2017) - [i5]Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries. CoRR abs/1711.06370 (2017) - 2016
- [j2]Bohan Zhuang, Lijun Wang, Huchuan Lu:
Visual tracking via shallow and deep collaborative model. Neurocomputing 218: 61-71 (2016) - [c1]Bohan Zhuang, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Fast Training of Triplet-Based Deep Binary Embedding Networks. CVPR 2016: 5955-5964 - [i4]Bohan Zhuang, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Fast Training of Triplet-based Deep Binary Embedding Networks. CoRR abs/1603.02844 (2016) - [i3]Bohan Zhuang, Lijun Wang, Huchuan Lu:
Visual Tracking via Shallow and Deep Collaborative Model. CoRR abs/1607.08040 (2016) - [i2]Bohan Zhuang, Lingqiao Liu, Yao Li, Chunhua Shen, Ian D. Reid:
Attend in groups: a weakly-supervised deep learning framework for learning from web data. CoRR abs/1611.09960 (2016) - [i1]Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Sequential Person Recognition in Photo Albums with a Recurrent Network. CoRR abs/1611.09967 (2016) - 2014
- [j1]Bohan Zhuang, Huchuan Lu, Ziyang Xiao, Dong Wang:
Visual Tracking via Discriminative Sparse Similarity Map. IEEE Trans. Image Process. 23(4): 1872-1881 (2014)
Coauthor Index
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