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2020 – today
- 2022
[c67]Chun-Han Yao, Boqing Gong, Hang Qi, Yin Cui, Yukun Zhu, Ming-Hsuan Yang:
Federated Multi-Target Domain Adaptation. WACV 2022: 1081-1090- [i63]Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu:
Surrogate Gap Minimization Improves Sharpness-Aware Training. CoRR abs/2203.08065 (2022) - [i62]Amil Dravid, Florian Schiffers, Boqing Gong, Aggelos K. Katsaggelos:
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space. CoRR abs/2204.05376 (2022) - 2021
- [c66]Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong:
Ranking Neural Checkpoints. CVPR 2021: 2663-2673 - [c65]Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge J. Belongie, Yin Cui:
Spatiotemporal Contrastive Video Representation Learning. CVPR 2021: 6964-6974 - [c64]Xinjie Fan, Qifei Wang, Junjie Ke, Feng Yang, Boqing Gong, Mingyuan Zhou:
Adversarially Adaptive Normalization for Single Domain Generalization. CVPR 2021: 8208-8217 - [c63]Li Yi, Boqing Gong, Thomas A. Funkhouser:
Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds. CVPR 2021: 15363-15373 - [c62]Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong:
MoViNets: Mobile Video Networks for Efficient Video Recognition. CVPR 2021: 16020-16030 - [c61]Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong:
Robust and Accurate Object Detection via Adversarial Learning. CVPR 2021: 16622-16631 - [c60]Arjun R. Akula, Soravit Changpinyo, Boqing Gong, Piyush Sharma, Song-Chun Zhu, Radu Soricut:
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization. EMNLP (1) 2021: 2148-2166 - [c59]Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao:
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection. ICCV 2021: 407-417 - [c58]Muhammad Abdullah Jamal, Liqiang Wang, Boqing Gong:
A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning. ICCV 2021: 6557-6566 - [c57]Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu:
Contrastive Learning for Label Efficient Semantic Segmentation. ICCV 2021: 10603-10613 - [c56]Jaewoong Shin, Haebeom Lee, Boqing Gong, Sung Ju Hwang:
Large-Scale Meta-Learning with Continual Trajectory Shifting. ICML 2021: 9603-9613 - [c55]Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao:
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation. NeurIPS 2021: 2529-2542 - [c54]Hassan Akbari, Liangzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong:
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. NeurIPS 2021: 24206-24221 - [c53]Yifan Ding
, Liqiang Wang, Boqing Gong:
Analyzing Deep Neural Network's Transferability via Fréchet Distance. WACV 2021: 3931-3940 - [i61]Jaewoong Shin, Haebeom Lee, Boqing Gong, Sung Ju Hwang:
Large-Scale Meta-Learning with Continual Trajectory Shifting. CoRR abs/2102.07215 (2021) - [i60]Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao:
A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection. CoRR abs/2102.08884 (2021) - [i59]Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong:
MoViNets: Mobile Video Networks for Efficient Video Recognition. CoRR abs/2103.11511 (2021) - [i58]Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong:
Robust and Accurate Object Detection via Adversarial Learning. CoRR abs/2103.13886 (2021) - [i57]Ahmet Iscen, André Araujo, Boqing Gong, Cordelia Schmid:
Class-Balanced Distillation for Long-Tailed Visual Recognition. CoRR abs/2104.05279 (2021) - [i56]Hassan Akbari, Liangzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong:
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. CoRR abs/2104.11178 (2021) - [i55]Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong:
2.5D Visual Relationship Detection. CoRR abs/2104.12727 (2021) - [i54]Xiangning Chen, Cho-Jui Hsieh, Boqing Gong:
When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations. CoRR abs/2106.01548 (2021) - [i53]Xinjie Fan, Qifei Wang, Junjie Ke, Feng Yang, Boqing Gong, Mingyuan Zhou:
Adversarially Adaptive Normalization for Single Domain Generalization. CoRR abs/2106.01899 (2021) - [i52]Marco Fornoni, Chaochao Yan, Liangchen Luo, Kimberly Wilber, Alex Stark, Yin Cui, Boqing Gong, Andrew G. Howard:
Bridging the Gap Between Object Detection and User Intent via Query-Modulation. CoRR abs/2106.10258 (2021) - [i51]Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao:
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation. CoRR abs/2107.02170 (2021) - [i50]Chun-Han Yao, Boqing Gong, Yin Cui, Hang Qi, Yukun Zhu, Ming-Hsuan Yang:
Federated Multi-Target Domain Adaptation. CoRR abs/2108.07792 (2021) - [i49]Zihang Zou, Boqing Gong, Liqiang Wang:
Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Model Training. CoRR abs/2109.09023 (2021) - [i48]Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui:
Exploring Temporal Granularity in Self-Supervised Video Representation Learning. CoRR abs/2112.04480 (2021) - [i47]Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. CoRR abs/2112.05181 (2021) - [i46]Qing Li, Boqing Gong, Yin Cui, Dan Kondratyuk, Xianzhi Du, Ming-Hsuan Yang, Matthew Brown:
Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text. CoRR abs/2112.07074 (2021) - 2020
- [j6]Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha:
Classifier and Exemplar Synthesis for Zero-Shot Learning. Int. J. Comput. Vis. 128(1): 166-201 (2020) - [j5]Yang Zhang, Philip David, Hassan Foroosh, Boqing Gong:
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 42(8): 1823-1841 (2020) - [c52]Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le:
Adversarial Examples Improve Image Recognition. CVPR 2020: 816-825 - [c51]Dongdong Wang, Yandong Li, Liqiang Wang, Boqing Gong:
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model. CVPR 2020: 1495-1504 - [c50]Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong:
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective. CVPR 2020: 7607-7616 - [c49]Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, Boqing Gong, Hassan Foroosh:
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation. CVPR 2020: 9598-9607 - [c48]Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Dahua Lin, Stella X. Yu, Boqing Gong:
Open Compound Domain Adaptation. CVPR 2020: 12403-12412 - [c47]Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong:
Improving Object Detection with Selective Self-supervised Self-training. ECCV (29) 2020: 589-607 - [c46]Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang:
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. ICLR 2020 - [c45]Chuang Gan, Yiwei Zhang, Jiajun Wu, Boqing Gong, Joshua B. Tenenbaum:
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation. ICRA 2020: 9701-9707 - [i45]Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang:
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. CoRR abs/2001.02378 (2020) - [i44]Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong:
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective. CoRR abs/2003.10780 (2020) - [i43]Dongdong Wang, Yandong Li, Liqiang Wang, Boqing Gong:
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model. CoRR abs/2003.13960 (2020) - [i42]Dan Kondratyuk, Mingxing Tan, Matthew Brown, Boqing Gong:
When Ensembling Smaller Models is More Efficient than Single Large Models. CoRR abs/2005.00570 (2020) - [i41]Cihang Xie, Mingxing Tan, Boqing Gong, Alan L. Yuille, Quoc V. Le:
Smooth Adversarial Training. CoRR abs/2006.14536 (2020) - [i40]Li Yi, Boqing Gong, Thomas A. Funkhouser:
Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds. CoRR abs/2007.08488 (2020) - [i39]Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong:
Improving Object Detection with Selective Self-supervised Self-training. CoRR abs/2007.09162 (2020) - [i38]Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge J. Belongie, Yin Cui:
Spatiotemporal Contrastive Video Representation Learning. CoRR abs/2008.03800 (2020) - [i37]Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong:
Ranking Neural Checkpoints. CoRR abs/2011.11200 (2020) - [i36]Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu:
Contrastive Learning for Label-Efficient Semantic Segmentation. CoRR abs/2012.06985 (2020)
2010 – 2019
- 2019
- [c44]Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong:
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. AAAI 2019: 3510-3517 - [c43]Dixian Zhu, Zhe Li, Xiaoyu Wang, Boqing Gong, Tianbao Yang:
A Robust Zero-Sum Game Framework for Pool-based Active Learning. AISTATS 2019: 517-526 - [c42]Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong:
Defending Against Adversarial Attacks Using Random Forest. CVPR Workshops 2019: 105-114 - [c41]Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu:
Large-Scale Long-Tailed Recognition in an Open World. CVPR 2019: 2537-2546 - [c40]Jing Shi, Jia Xu, Boqing Gong, Chenliang Xu:
Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses. CVPR 2019: 10444-10452 - [c39]Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong:
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data. ICCV 2019: 2100-2110 - [c38]Zhengyuan Yang, Boqing Gong, Liwei Wang, Wenbing Huang, Dong Yu, Jiebo Luo:
A Fast and Accurate One-Stage Approach to Visual Grounding. ICCV 2019: 4682-4692 - [c37]Qing Lian, Lixin Duan, Fengmao Lv, Boqing Gong:
Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach. ICCV 2019: 6757-6766 - [c36]Meng Fang, Cheng Zhou, Bei Shi, Boqing Gong, Jia Xu, Tong Zhang:
DHER: Hindsight Experience Replay for Dynamic Goals. ICLR (Poster) 2019 - [c35]Yang Zhang, Hassan Foroosh, Philip David, Boqing Gong:
CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild. ICLR (Poster) 2019 - [c34]Yandong Li, Lijun Li, Liqiang Wang, Tong Zhang, Boqing Gong:
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks. ICML 2019: 3866-3876 - [c33]Guangyao Shen, Wenbing Huang, Chuang Gan, Mingkui Tan, Junzhou Huang, Wenwu Zhu, Boqing Gong:
Facial Image-to-Video Translation by a Hidden Affine Transformation. ACM Multimedia 2019: 2505-2513 - [c32]Lijun Li, Boqing Gong:
End-to-End Video Captioning With Multitask Reinforcement Learning. WACV 2019: 339-348 - [c31]Zhezhi He, Boqing Gong, Deliang Fan:
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. WACV 2019: 913-921 - [c30]Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang:
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference. WWW 2019: 1806-1817 - [i35]Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang:
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference. CoRR abs/1902.09255 (2019) - [i34]Hexiang Hu, Liyu Chen, Boqing Gong, Fei Sha:
Synthesized Policies for Transfer and Adaptation across Tasks and Environments. CoRR abs/1904.03276 (2019) - [i33]Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu:
Large-Scale Long-Tailed Recognition in an Open World. CoRR abs/1904.05160 (2019) - [i32]Yandong Li, Lijun Li, Liqiang Wang, Tong Zhang, Boqing Gong:
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks. CoRR abs/1905.00441 (2019) - [i31]Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong:
Defending Against Adversarial Attacks Using Random Forests. CoRR abs/1906.06765 (2019) - [i30]Zhengyuan Yang, Boqing Gong, Liwei Wang, Wenbing Huang, Dong Yu, Jiebo Luo:
A Fast and Accurate One-Stage Approach to Visual Grounding. CoRR abs/1908.06354 (2019) - [i29]Qing Lian, Fengmao Lv, Lixin Duan, Boqing Gong:
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach. CoRR abs/1908.09547 (2019) - [i28]Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong:
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data. CoRR abs/1909.00889 (2019) - [i27]Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Stella X. Yu, Dahua Lin, Boqing Gong:
Compound Domain Adaptation in an Open World. CoRR abs/1909.03403 (2019) - [i26]Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le:
Adversarial Examples Improve Image Recognition. CoRR abs/1911.09665 (2019) - [i25]Chuang Gan, Yiwei Zhang, Jiajun Wu, Boqing Gong, Joshua B. Tenenbaum:
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation. CoRR abs/1912.11684 (2019) - 2018
- [j4]Zhezhi He, Yang Zhang, Shaahin Angizi, Boqing Gong, Deliang Fan:
Exploring a SOT-MRAM Based In-Memory Computing for Data Processing. IEEE Trans. Multi Scale Comput. Syst. 4(4): 676-685 (2018) - [j3]Amir Mazaheri, Boqing Gong, Mubarak Shah:
Learning a Multi-Concept Video Retrieval Model with Multiple Latent Variables. ACM Trans. Multim. Comput. Commun. Appl. 14(2): 46:1-46:21 (2018) - [c29]Chuang Gan, Boqing Gong, Kun Liu, Hao Su, Leonidas J. Guibas:
Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning. CVPR 2018: 5589-5597 - [c28]Muhammad Abdullah Jamal, Haoxiang Li, Boqing Gong:
Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting. CVPR 2018: 5608-5618 - [c27]Lijie Fan, Wen-bing Huang, Chuang Gan, Stefano Ermon, Boqing Gong, Junzhou Huang:
End-to-End Learning of Motion Representation for Video Understanding. CVPR 2018: 6016-6025 - [c26]Yandong Li, Liqiang Wang, Tianbao Yang, Boqing Gong:
How Local Is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization. ECCV (8) 2018: 156-174 - [c25]Aidean Sharghi, Ali Borji, Chengtao Li, Tianbao Yang, Boqing Gong:
Improving Sequential Determinantal Point Processes for Supervised Video Summarization. ECCV (3) 2018: 533-550 - [c24]Xiang Wei, Boqing Gong, Zixia Liu, Wei Lu, Liqiang Wang:
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect. ICLR (Poster) 2018 - [c23]Hexiang Hu, Liyu Chen, Boqing Gong, Fei Sha:
Synthesize Policies for Transfer and Adaptation across Tasks and Environments. NeurIPS 2018: 1176-1185 - [c22]Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong:
A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels. WACV 2018: 1215-1224 - [i24]Adnan Siraj Rakin, Zhezhi He, Boqing Gong, Deliang Fan:
Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples. CoRR abs/1802.01549 (2018) - [i23]Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong:
A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels. CoRR abs/1802.02679 (2018) - [i22]Xiang Wei, Boqing Gong, Zixia Liu, Wei Lu, Liqiang Wang:
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect. CoRR abs/1803.01541 (2018) - [i21]Lijun Li, Boqing Gong:
End-to-End Video Captioning with Multitask Reinforcement Learning. CoRR abs/1803.07950 (2018) - [i20]Lijie Fan, Wen-bing Huang, Chuang Gan, Stefano Ermon, Boqing Gong, Junzhou Huang:
End-to-End Learning of Motion Representation for Video Understanding. CoRR abs/1804.00413 (2018) - [i19]Yandong Li, Liqiang Wang, Tianbao Yang, Boqing Gong:
How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization. CoRR abs/1807.04219 (2018) - [i18]Adnan Siraj Rakin, Jinfeng Yi, Boqing Gong, Deliang Fan:
Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions. CoRR abs/1807.06714 (2018) - [i17]Zhezhi He, Boqing Gong, Deliang Fan:
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. CoRR abs/1807.07948 (2018) - [i16]Aidean Sharghi, Ali Borji, Chengtao Li, Tianbao Yang, Boqing Gong:
Improving Sequential Determinantal Point Processes for Supervised Video Summarization. CoRR abs/1807.10957 (2018) - [i15]Lijie Fan, Wen-bing Huang, Chuang Gan, Junzhou Huang, Boqing Gong:
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. CoRR abs/1808.02992 (2018) - [i14]Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha:
Classifier and Exemplar Synthesis for Zero-Shot Learning. CoRR abs/1812.06423 (2018) - [i13]Yang Zhang, Philip David, Hassan Foroosh, Boqing Gong:
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes. CoRR abs/1812.09953 (2018) - 2017
- [c21]Zhaojun Yang, Boqing Gong, Shrikanth S. Narayanan:
Weighted geodesic flow kernel for interpersonal mutual influence modeling and emotion recognition in dyadic interactions. ACII 2017: 236-241 - [c20]Aidean Sharghi, Jacob S. Laurel, Boqing Gong:
Query-Focused Video Summarization: Dataset, Evaluation, and a Memory Network Based Approach. CVPR 2017: 2127-2136 - [c19]Mahdi M. Kalayeh, Boqing Gong, Mubarak Shah:
Improving Facial Attribute Prediction Using Semantic Segmentation. CVPR 2017: 4227-4235 - [c18]Chuang Gan, Yandong Li, Haoxiang Li, Chen Sun, Boqing Gong:
VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation. ICCV 2017: 1829-1838 - [c17]Yang Zhang, Philip David, Boqing Gong:
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes. ICCV 2017: 2039-2049 - [p2]Boqing Gong, Kristen Grauman, Fei Sha:
Geodesic Flow Kernel and Landmarks: Kernel Methods for Unsupervised Domain Adaptation. Domain Adaptation in Computer Vision Applications 2017: 59-79 - [p1]Chuang Gan, Tianbao Yang, Boqing Gong:
A Multisource Domain Generalization Approach to Visual Attribute Detection. Domain Adaptation in Computer Vision Applications 2017: 277-289 - [i12]Mahdi M. Kalayeh, Boqing Gong, Mubarak Shah:
Improving Facial Attribute Prediction using Semantic Segmentation. CoRR abs/1704.08740 (2017) - [i11]Aidean Sharghi, Jacob S. Laurel, Boqing Gong:
Query-Focused Video Summarization: Dataset, Evaluation, and A Memory Network Based Approach. CoRR abs/1707.04960 (2017) - [i10]Yang Zhang, Philip David, Boqing Gong:
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes. CoRR abs/1707.09465 (2017) - [i9]Chuang Gan, Yandong Li, Haoxiang Li, Chen Sun, Boqing Gong:
VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation. CoRR abs/1708.04686 (2017) - 2016
- [c16]Chuang Gan, Tianbao Yang, Boqing Gong:
Learning Attributes Equals Multi-Source Domain Generalization. CVPR 2016: 87-97 - [c15]Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha:
Synthesized Classifiers for Zero-Shot Learning. CVPR 2016: 5327-5336 - [c14]Yang Zhang, Boqing Gong, Mubarak Shah:
Fast Zero-Shot Image Tagging. CVPR 2016: 5985-5994 - [c13]Aidean Sharghi, Boqing Gong, Mubarak Shah:
Query-Focused Extractive Video Summarization. ECCV (8) 2016: 3-19 - [c12]Wei-Lun Chao, Soravit Changpinyo, Boqing Gong, Fei Sha:
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild. ECCV (2) 2016: 52-68 - [c11]