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ORCIDZhuowen Tu
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- affiliation: University of California, San Diego, USA
- affiliation (former): University of California, Los Angeles, USA
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2020 – today
- 2023
[c122]Hao Li, Charless C. Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto:
Guided Recommendation for Model Fine-Tuning. CVPR 2023: 3633-3642- [c121]Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang:
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing. CVPR 2023: 12736-12746 - [c120]Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu:
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning. ICLR 2023 - [c119]Zheng Ding, Jieke Wang, Zhuowen Tu:
Open-Vocabulary Universal Image Segmentation with MaskCLIP. ICML 2023: 8090-8102 - [i62]Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang:
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing. CoRR abs/2304.06711 (2023) - [i61]Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su:
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction. CoRR abs/2304.06714 (2023) - [i60]Zhaoyang Zhang, Yantao Shen, Kunyu Shi, Zhaowei Cai, Jun Fang, Siqi Deng, Hao Yang, Davide Modolo, Zhuowen Tu, Stefano Soatto:
Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts. CoRR abs/2305.07019 (2023) - [i59]Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su:
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability. CoRR abs/2307.03135 (2023) - [i58]Haofu Liao, Aruni RoyChowdhury, Weijian Li, Ankan Bansal, Yuting Zhang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan:
DocTr: Document Transformer for Structured Information Extraction in Documents. CoRR abs/2307.07929 (2023) - [i57]Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu:
Patched Denoising Diffusion Models For High-Resolution Image Synthesis. CoRR abs/2308.01316 (2023) - [i56]Wenbo Hu, Yifan Xu, Yi Li, Weiyue Li, Zeyuan Chen, Zhuowen Tu:
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions. CoRR abs/2308.09936 (2023) - [i55]Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen:
Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and Stability. CoRR abs/2308.15419 (2023) - [i54]Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao:
Object-Centric Multiple Object Tracking. CoRR abs/2309.00233 (2023) - [i53]Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo:
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild. CoRR abs/2309.11445 (2023) - [i52]Yilin Wang, Zeyuan Chen, Liangjun Zhong, Zheng Ding, Zhizhou Sha, Zhuowen Tu:
Dolfin: Diffusion Layout Transformers without Autoencoder. CoRR abs/2310.16305 (2023) - [i51]Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Benjamin K. Bergen:
When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages. CoRR abs/2311.09205 (2023) - 2022
- [j40]Jingdong Wang, Zhuowen Tu, Jianlong Fu
, Nicu Sebe, Serge J. Belongie:
Guest Editorial: Introduction to the Special Section on Fine-Grained Visual Categorization. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 560-562 (2022) - [c118]Justin Lazarow, Weijian Xu, Zhuowen Tu:
Instance Segmentation with Mask-supervised Polygonal Boundary Transformers. CVPR 2022: 4372-4381 - [c117]Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
MeMOT: Multi-Object Tracking with Memory. CVPR 2022: 8080-8090 - [c116]Xiang Zhang, Yongwen Su, Subarna Tripathi, Zhuowen Tu:
Text Spotting Transformers. CVPR 2022: 9509-9518 - [c115]Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto:
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. ECCV (36) 2022: 290-308 - [c114]Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen:
The Geometry of Multilingual Language Model Representations. EMNLP 2022: 119-136 - [c113]Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu:
ViTGAN: Training GANs with Vision Transformers. ICLR 2022 - [c112]Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto:
Semi-supervised Vision Transformers at Scale. NeurIPS 2022 - [c111]Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe:
An In-depth Study of Stochastic Backpropagation. NeurIPS 2022 - [i50]Pengkai Zhu, Zhaowei Cai, Yuanjun Xiong, Zhuowen Tu, Luis Goncalves, Vijay Mahadevan, Stefano Soatto:
Contrastive Neighborhood Alignment. CoRR abs/2201.01922 (2022) - [i49]Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
MeMOT: Multi-Object Tracking with Memory. CoRR abs/2203.16761 (2022) - [i48]Xiang Zhang, Yongwen Su, Subarna Tripathi, Zhuowen Tu:
Text Spotting Transformers. CoRR abs/2204.01918 (2022) - [i47]Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto:
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. CoRR abs/2204.05626 (2022) - [i46]Yue Zhao, Yantao Shen, Yuanjun Xiong, Shuo Yang, Wei Xia, Zhuowen Tu, Bernt Schiele, Stefano Soatto:
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training. CoRR abs/2205.06265 (2022) - [i45]Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen:
The Geometry of Multilingual Language Model Representations. CoRR abs/2205.10964 (2022) - [i44]Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto:
Semi-supervised Vision Transformers at Scale. CoRR abs/2208.05688 (2022) - [i43]Zheng Ding, Jieke Wang, Zhuowen Tu:
Open-Vocabulary Panoptic Segmentation with MaskCLIP. CoRR abs/2208.08984 (2022) - [i42]Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe:
An In-depth Study of Stochastic Backpropagation. CoRR abs/2210.00129 (2022) - [i41]Zheng Ding, James Hou, Zhuowen Tu:
Point Cloud Recognition with Position-to-Structure Attention Transformers. CoRR abs/2210.02030 (2022) - [i40]Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu:
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning. CoRR abs/2210.10763 (2022) - 2021
- [j39]Gang Hua, Derek Hoiem, Abhinav Gupta, Zhuowen Tu:
Editorial: Introduction to the Special Section on CVPR2019 Best Papers. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4203-4204 (2021) - [c110]Tyler A. Chang, Yifan Xu, Weijian Xu, Zhuowen Tu:
Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models. ACL/IJCNLP (1) 2021: 4322-4333 - [c109]Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning. CVPR 2021: 194-203 - [c108]Gaurav Parmar, Dacheng Li, Kwonjoon Lee, Zhuowen Tu:
Dual Contradistinctive Generative Autoencoder. CVPR 2021: 823-832 - [c107]Ke Li, Shijie Wang, Xiang Zhang, Yifan Xu, Weijian Xu, Zhuowen Tu:
Pose Recognition With Cascade Transformers. CVPR 2021: 1944-1953 - [c106]Yifan Xu, Weijian Xu, David Cheung, Zhuowen Tu:
Line Segment Detection Using Transformers Without Edges. CVPR 2021: 4257-4266 - [c105]Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
Compatibility-Aware Heterogeneous Visual Search. CVPR 2021: 10723-10732 - [c104]Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto:
Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries. ICCV 2021: 3530-3539 - [c103]Weijian Xu, Yifan Xu, Tyler A. Chang, Zhuowen Tu:
Co-Scale Conv-Attentional Image Transformers. ICCV 2021: 9961-9970 - [c102]Weijian Xu, Yifan Xu, Huaijin Wang, Zhuowen Tu:
Attentional Constellation Nets for Few-Shot Learning. ICLR 2021 - [c101]Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto:
Long Short-Term Transformer for Online Action Detection. NeurIPS 2021: 1086-1099 - [i39]Yifan Xu, Weijian Xu, David Cheung, Zhuowen Tu:
Line Segment Detection Using Transformers without Edges. CoRR abs/2101.01909 (2021) - [i38]Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning. CoRR abs/2101.08482 (2021) - [i37]Weijian Xu, Yifan Xu, Tyler A. Chang, Zhuowen Tu:
Co-Scale Conv-Attentional Image Transformers. CoRR abs/2104.06399 (2021) - [i36]Ke Li, Shijie Wang, Xiang Zhang, Yifan Xu, Weijian Xu, Zhuowen Tu:
Pose Recognition with Cascade Transformers. CoRR abs/2104.06976 (2021) - [i35]Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto:
Visual Composite Set Detection Using Part-and-Sum Transformers. CoRR abs/2105.02170 (2021) - [i34]Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
Compatibility-aware Heterogeneous Visual Search. CoRR abs/2105.06047 (2021) - [i33]Tyler A. Chang, Yifan Xu, Weijian Xu, Zhuowen Tu:
Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models. CoRR abs/2106.05505 (2021) - [i32]Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto:
Long Short-Term Transformer for Online Action Detection. CoRR abs/2107.03377 (2021) - [i31]Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu:
ViTGAN: Training GANs with Vision Transformers. CoRR abs/2107.04589 (2021) - [i30]Sainan Liu, Vincent Nguyen, Yuan Gao, Subarna Tripathi, Zhuowen Tu:
Towards Panoptic 3D Parsing for Single Image in the Wild. CoRR abs/2111.03039 (2021) - 2020
- [j38]Jeng-Hau Lin, Xun Jiao, Mulong Luo, Zhuowen Tu, Rajesh K. Gupta:
Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations. IEEE Des. Test 37(5): 75-84 (2020) - [c100]Qimin Chen, Vincent Nguyen, Feng Han, Raimondas Kiveris, Zhuowen Tu:
Topology-Aware Single-Image 3D Shape Reconstruction. CVPR Workshops 2020: 1089-1097 - [c99]Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu:
Guided Variational Autoencoder for Disentanglement Learning. CVPR 2020: 7917-7926 - [c98]Justin Lazarow, Kwonjoon Lee, Kunyu Shi, Zhuowen Tu:
Learning Instance Occlusion for Panoptic Segmentation. CVPR 2020: 10717-10726 - [c97]Sainan Liu, Vincent Nguyen, Isaac Rehg, Zhuowen Tu:
Recognizing Objects From Any View With Object and Viewer-Centered Representations. CVPR 2020: 11781-11790 - [c96]Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, Zhuowen Tu:
One-Pixel Signature: Characterizing CNN Models for Backdoor Detection. ECCV (27) 2020: 326-341 - [c95]Jeng-Hau Lin, Justin Lazarow, Yunfan Yang, Dezhi Hong, Rajesh K. Gupta, Zhuowen Tu:
Local Binary Pattern Networks. WACV 2020: 814-823 - [i29]Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu:
Guided Variational Autoencoder for Disentanglement Learning. CoRR abs/2004.01255 (2020) - [i28]Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, Zhuowen Tu:
One-pixel Signature: Characterizing CNN Models for Backdoor Detection. CoRR abs/2008.07711 (2020) - [i27]Gaurav Parmar, Dacheng Li, Kwonjoon Lee, Zhuowen Tu:
Dual Contradistinctive Generative Autoencoder. CoRR abs/2011.10063 (2020)
2010 – 2019
- 2019
- [j37]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) - [j36]Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu:
Deep FisherNet for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2244-2250 (2019) - [c94]Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu:
3D Volumetric Modeling with Introspective Neural Networks. AAAI 2019: 8481-8488 - [c93]Weijian Xu, Gaurav Parmar, Zhuowen Tu:
Geometry-Aware End-to-End Skeleton Detection. BMVC 2019: 256 - [c92]Jeng-Hau Lin, Atieh Lotfi, Vahideh Akhlaghi, Zhuowen Tu, Rajesh K. Gupta:
Accelerating Local Binary Pattern Networks with Software-Programmable FPGAs. DATE 2019: 1112-1117 - [i26]Justin Lazarow, Kwonjoon Lee, Zhuowen Tu:
Learning Instance Occlusion for Panoptic Segmentation. CoRR abs/1906.05896 (2019) - [i25]Siyang Wang, Justin Lazarow, Kwonjoon Lee, Zhuowen Tu:
Unaligned Image-to-Sequence Transformation with Loop Consistency. CoRR abs/1910.04149 (2019) - [i24]Yifan Xu, Lu Dai, Udaikaran Singh, Kening Zhang, Zhuowen Tu:
Neural Program Synthesis By Self-Learning. CoRR abs/1910.05865 (2019) - [i23]Yifan Xu, Kening Zhang, Haoyu Dong, Yuezhou Sun, Wenlong Zhao, Zhuowen Tu:
Rethinking Exposure Bias In Language Modeling. CoRR abs/1910.11235 (2019) - 2018
- [j35]Chen-Yu Lee, Patrick W. Gallagher, Zhuowen Tu:
Generalizing Pooling Functions in CNNs: Mixed, Gated, and Tree. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 863-875 (2018) - [c91]Kwonjoon Lee, Weijian Xu, Fan Fan, Zhuowen Tu:
Wasserstein Introspective Neural Networks. CVPR 2018: 3702-3711 - [c90]Saining Xie, Sainan Liu, Zeyu Chen, Zhuowen Tu:
Attentional ShapeContextNet for Point Cloud Recognition. CVPR 2018: 4606-4615 - [c89]Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy:
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. ECCV (15) 2018: 318-335 - [c88]Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting Zhuang, Zhuowen Tu, Jingdong Wang:
Deep Convolutional Neural Networks with Merge-and-Run Mappings. IJCAI 2018: 3170-3176 - [i22]Jeng-Hau Lin, Yunfan Yang, Rajesh K. Gupta, Zhuowen Tu:
Local Binary Pattern Networks. CoRR abs/1803.07125 (2018) - 2017
- [j34]Saining Xie, Zhuowen Tu:
Holistically-Nested Edge Detection. Int. J. Comput. Vis. 125(1-3): 3-18 (2017) - [c87]Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Zhiru Zhang, Mani B. Srivastava, Zhuowen Tu, Rajesh K. Gupta:
Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration. CVPR Workshops 2017: 344-352 - [c86]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 - [c85]Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He:
Aggregated Residual Transformations for Deep Neural Networks. CVPR 2017: 5987-5995 - [c84]Justin Lazarow, Long Jin, Zhuowen Tu:
Introspective Neural Networks for Generative Modeling. ICCV 2017: 2793-2802 - [c83]Long Jin, Justin Lazarow, Zhuowen Tu:
Introspective Classification with Convolutional Nets. NIPS 2017: 823-833 - [i21]Long Jin, Justin Lazarow, Zhuowen Tu:
Introspective Classifier Learning: Empower Generatively. CoRR abs/1704.07816 (2017) - [i20]Justin Lazarow, Long Jin, Zhuowen Tu:
Introspective Generative Modeling: Decide Discriminatively. CoRR abs/1704.07820 (2017) - [i19]Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Zhiru Zhang, Mani B. Srivastava, Zhuowen Tu, Rajesh K. Gupta:
Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration. CoRR abs/1707.04693 (2017) - [i18]Kwonjoon Lee, Weijian Xu, Fan Fan, Zhuowen Tu:
Wasserstein Introspective Neural Networks. CoRR abs/1711.08875 (2017) - [i17]Jameson Tyler Merkow, Robert B. Lufkin, Kim Nguyen, Stefano Soatto, Zhuowen Tu, Andrea Vedaldi:
DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images. CoRR abs/1711.09313 (2017) - [i16]Zhiwei Jia, Haoshen Hong, Siyang Wang, Zhuowen Tu:
Top-down Flow Transformer Networks. CoRR abs/1712.02400 (2017) - [i15]Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy:
Rethinking Spatiotemporal Feature Learning For Video Understanding. CoRR abs/1712.04851 (2017) - 2016
- [c82]Chen-Yu Lee, Patrick W. Gallagher, Zhuowen Tu:
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree. AISTATS 2016: 464-472 - [c81]Saining Xie, Xun Huang, Zhuowen Tu:
Top-Down Learning for Structured Labeling with Convolutional Pseudoprior. ECCV (4) 2016: 302-317 - [c80]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 - [c79]Jameson Tyler Merkow, Alison L. Marsden, David J. Kriegman, Zhuowen Tu:
Dense Volume-to-Volume Vascular Boundary Detection. MICCAI (3) 2016: 371-379 - [i14]Jameson Tyler Merkow, David J. Kriegman, Alison L. Marsden, Zhuowen Tu:
Dense Volume-to-Volume Vascular Boundary Detection. CoRR abs/1605.08401 (2016) - [i13]Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu:
Deep FisherNet for Object Classification. CoRR abs/1608.00182 (2016) - [i12]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) - [i11]Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He:
Aggregated Residual Transformations for Deep Neural Networks. CoRR abs/1611.05431 (2016) - [i10]Liming Zhao, Jingdong Wang, Xi Li, Zhuowen Tu, Wenjun Zeng:
On the Connection of Deep Fusion to Ensembling. CoRR abs/1611.07718 (2016) - [i9]Long Jin, Zeyu Chen, Zhuowen Tu:
Object Detection Free Instance Segmentation With Labeling Transformations. CoRR abs/1611.08991 (2016) - 2015
- [j33]Yan Xu, Weiying Wu, Eric I-Chao Chang, Danny Ziyi Chen, Jian Mu, Peter P. Lee, Kim R. M. Blenman, Zhuowen Tu:
A two-layer structure prediction framework for microscopy cell detection. Comput. Medical Imaging Graph. 41: 29-36 (2015) - [j32]Jun-Yan Zhu, Jiajun Wu, Yan Xu, Eric I-Chao Chang, Zhuowen Tu:
Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 862-875 (2015) - [j31]Jiayi Ma, Weichao Qiu, Ji Zhao, Yong Ma, Alan L. Yuille, Zhuowen Tu:
Robust L2E Estimation of Transformation for Non-Rigid Registration. IEEE Trans. Signal Process. 63(5): 1115-1129 (2015) - [c78]Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu:
Deeply-Supervised Nets. AISTATS 2015 - [c77]Saining Xie, Zhuowen Tu:
Holistically-Nested Edge Detection. ICCV 2015: 1395-1403 - [c76]Jameson Tyler Merkow, Zhuowen Tu, David J. Kriegman, Alison L. Marsden:
Structural Edge Detection for Cardiovascular Modeling. MICCAI (3) 2015: 735-742 - [i8]Saining Xie, Zhuowen Tu:
Holistically-Nested Edge Detection. CoRR abs/1504.06375 (2015) - [i7]Liwei Wang, Chen-Yu Lee, Zhuowen Tu, Svetlana Lazebnik:
Training Deeper Convolutional Networks with Deep Supervision. CoRR abs/1505.02496 (2015) - [i6]Chen-Yu Lee, Patrick W. Gallagher, Zhuowen Tu:
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree. CoRR abs/1509.08985 (2015) - [i5]Patrick W. Gallagher, Shuai Tang, Zhuowen Tu:
What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks. CoRR abs/1511.07125 (2015) - [i4]