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2020 – today
- 2022
[j7]Zuxuan Wu
, Hengduo Li, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
A Dynamic Frame Selection Framework for Fast Video Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1699-1711 (2022)- [j6]Xing Zhang, Zuxuan Wu, Yu-Gang Jiang:
SAM: Modeling Scene, Object and Action With Semantics Attention Modules for Video Recognition. IEEE Trans. Multim. 24: 313-322 (2022) - [j5]Xue Song, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang:
Spatial-Temporal Graphs for Cross-Modal Text2Video Retrieval. IEEE Trans. Multim. 24: 2914-2923 (2022) - [c42]Junke Wang, Zuxuan Wu, Wenhao Ouyang, Xintong Han, Jingjing Chen, Yu-Gang Jiang, Ser-Nam Li:
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection. ICMR 2022: 615-623 - [c41]Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha:
M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers. WACV 2022: 2293-2303 - [i54]Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang:
ObjectFormer for Image Manipulation Detection and Localization. CoRR abs/2203.14681 (2022) - [i53]Rui Tian, Zuxuan Wu, Qi Dai, Han Hu, Yu-Gang Jiang:
Deeper Insights into ViTs Robustness towards Common Corruptions. CoRR abs/2204.12143 (2022) - [i52]Lingchen Meng, Xiyang Dai, Yinpeng Chen, Pengchuan Zhang, Dongdong Chen, Mengchen Liu, Jianfeng Wang, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang:
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding. CoRR abs/2206.03484 (2022) - 2021
- [j4]Zuxuan Wu, Hengduo Li, Yingbin Zheng, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
A Coarse-to-Fine Framework for Resource Efficient Video Recognition. Int. J. Comput. Vis. 129(11): 2965-2977 (2021) - [c40]Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim:
Deep Video Inpainting Detection. BMVC 2021: 35 - [c39]Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava:
GTA: Global Temporal Attention for Video Action Understanding. BMVC 2021: 292 - [c38]Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. CVPR 2021: 6155-6164 - [c37]Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim:
Intentonomy: A Dataset and Study Towards Human Intent Understanding. CVPR 2021: 12986-12996 - [c36]Bor-Chun Chen, Zuxuan Wu, Larry S. Davis, Ser-Nam Lim:
Efficient Object Embedding for Spliced Image Retrieval. CVPR 2021: 14965-14975 - [c35]Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim:
Exploring Visual Engagement Signals for Representation Learning. ICCV 2021: 4186-4197 - [c34]Xing Zhang, Zuxuan Wu, Zejia Weng, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang, Larry Davis:
VideoLT: Large-scale Long-tailed Video Recognition. ICCV 2021: 7940-7949 - [c33]Zejia Weng, Lingchen Meng, Rui Wang, Zuxuan Wu, Yu-Gang Jiang:
A Multimodal Framework for Video Ads Understanding. ACM Multimedia 2021: 4843-4847 - [c32]Manli Shu, Zuxuan Wu, Micah Goldblum, Tom Goldstein:
Encoding Robustness to Image Style via Adversarial Feature Perturbations. NeurIPS 2021: 28042-28053 - [i51]Peng Zhou, Ning Yu, Zuxuan Wu, Larry S. Davis, Abhinav Shrivastava, Ser-Nam Lim:
Deep Video Inpainting Detection. CoRR abs/2101.11080 (2021) - [i50]Zuxuan Wu, Tom Goldstein, Larry S. Davis, Ser-Nam Lim:
THAT: Two Head Adversarial Training for Improving Robustness at Scale. CoRR abs/2103.13612 (2021) - [i49]Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim:
Exploring Visual Engagement Signals for Representation Learning. CoRR abs/2104.07767 (2021) - [i48]Zejia Weng, Zuxuan Wu, Hengduo Li, Yu-Gang Jiang:
HMS: Hierarchical Modality Selection for Efficient Video Recognition. CoRR abs/2104.09760 (2021) - [i47]Junke Wang, Zuxuan Wu, Jingjing Chen, Yu-Gang Jiang:
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection. CoRR abs/2104.09770 (2021) - [i46]Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha:
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers. CoRR abs/2104.11896 (2021) - [i45]Xing Zhang, Zuxuan Wu, Zejia Weng, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang, Larry Davis:
VideoLT: Large-scale Long-tailed Video Recognition. CoRR abs/2105.02668 (2021) - [i44]Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
Rethinking Pseudo Labels for Semi-Supervised Object Detection. CoRR abs/2106.00168 (2021) - [i43]Rui Wang, Zuxuan Wu, Zejia Weng, Jingjing Chen, Guo-Jun Qi, Yu-Gang Jiang:
Cross-domain Contrastive Learning for Unsupervised Domain Adaptation. CoRR abs/2106.05528 (2021) - [i42]Junke Wang, Shaoxiang Chen, Zuxuan Wu, Yu-Gang Jiang:
FT-TDR: Frequency-guided Transformer and Top-Down Refinement Network for Blind Face Inpainting. CoRR abs/2108.04424 (2021) - [i41]Zejia Weng, Lingchen Meng, Rui Wang, Zuxuan Wu, Yu-Gang Jiang:
A Multimodal Framework for Video Ads Understanding. CoRR abs/2108.12868 (2021) - [i40]Zhipeng Wei, Jingjing Chen, Micah Goldblum, Zuxuan Wu, Tom Goldstein, Yu-Gang Jiang:
Towards Transferable Adversarial Attacks on Vision Transformers. CoRR abs/2109.04176 (2021) - [i39]Fan Luo, Shaoxiang Chen, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang:
Self-supervised Learning for Semi-supervised Temporal Language Grounding. CoRR abs/2109.11475 (2021) - [i38]Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang:
Boosting the Transferability of Video Adversarial Examples via Temporal Translation. CoRR abs/2110.09075 (2021) - [i37]Kai Chen, Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang:
Attacking Video Recognition Models with Bullet-Screen Comments. CoRR abs/2110.15629 (2021) - [i36]Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang:
Semi-Supervised Vision Transformers. CoRR abs/2111.11067 (2021) - [i35]Junke Wang, Xitong Yang, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang:
Efficient Video Transformers with Spatial-Temporal Token Selection. CoRR abs/2111.11591 (2021) - [i34]Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim:
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition. CoRR abs/2111.15668 (2021) - [i33]Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Yu-Gang Jiang, Luowei Zhou, Lu Yuan:
BEVT: BERT Pretraining of Video Transformers. CoRR abs/2112.01529 (2021) - [i32]Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang:
Cross-Modal Transferable Adversarial Attacks from Images to Videos. CoRR abs/2112.05379 (2021) - [i31]Tianyi Liu, Zuxuan Wu, Wenhan Xiong, Jingjing Chen, Yu-Gang Jiang:
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation. CoRR abs/2112.05587 (2021) - [i30]Menglin Jia, Bor-Chun Chen, Zuxuan Wu, Claire Cardie, Serge J. Belongie, Ser-Nam Lim:
Rethinking Nearest Neighbors for Visual Classification. CoRR abs/2112.08459 (2021) - 2020
- [b1]Zuxuan Wu:
Image and video Understanding with constrained Resources. University of Maryland, College Park, MD, USA, 2020 - [c31]Zhe Wu, Zuxuan Wu, Bharat Singh, Larry S. Davis:
Recognizing Instagram Filtered Images with Feature De-Stylization. AAAI 2020: 12418-12425 - [c30]Peng Zhou, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu, Larry Davis:
M2KD: Incremental Learning via Multi-model and Multi-level Knowledge Distillation. BMVC 2020 - [c29]Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis:
Learning From Noisy Anchors for One-Stage Object Detection. CVPR 2020: 10585-10594 - [c28]Zuxuan Wu, Ser-Nam Lim, Larry S. Davis, Tom Goldstein:
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors. ECCV (4) 2020: 1-17 - [i29]Manli Shu, Zuxuan Wu, Micah Goldblum, Tom Goldstein:
Prepare for the Worst: Generalizing across Domain Shifts with Adversarial Batch Normalization. CoRR abs/2009.08965 (2020) - [i28]Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein:
FLAG: Adversarial Data Augmentation for Graph Neural Networks. CoRR abs/2010.09891 (2020) - [i27]Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim:
Intentonomy: a Dataset and Study towards Human Intent Understanding. CoRR abs/2011.05558 (2020) - [i26]Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava:
GTA: Global Temporal Attention for Video Action Understanding. CoRR abs/2012.08510 (2020) - [i25]Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. CoRR abs/2012.14950 (2020)
2010 – 2019
- 2019
- [j3]Rui-Wei Zhao, Qi Zhang, Zuxuan Wu, Jianguo Li, Yu-Gang Jiang:
Visual Content Recognition by Exploiting Semantic Feature Map with Attention and Multi-task Learning. ACM Trans. Multim. Comput. Commun. Appl. 15(1s): 6:1-6:22 (2019) - [c27]Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis:
AdaFrame: Adaptive Frame Selection for Fast Video Recognition. CVPR 2019: 1278-1287 - [c26]Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira:
The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation. CVPR 2019: 6732-6740 - [c25]Zuxuan Wu, Xin Wang, Joseph Gonzalez, Tom Goldstein, Larry Davis:
ACE: Adapting to Changing Environments for Semantic Segmentation. ICCV 2019: 2121-2130 - [c24]Xintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott, Larry Davis:
FiNet: Compatible and Diverse Fashion Image Inpainting. ICCV 2019: 4480-4490 - [c23]Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong:
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. ICLR (Poster) 2019 - [c22]Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition. NeurIPS 2019: 7778-7787 - [c21]Zuxuan Wu, Larry Davis, Leonid Sigal:
Weakly-Supervised Spatial Context Networks. WACV 2019: 1253-1261 - [i24]Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong:
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. CoRR abs/1901.03035 (2019) - [i23]Xintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott, Larry S. Davis:
Compatible and Diverse Fashion Image Inpainting. CoRR abs/1902.01096 (2019) - [i22]Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira:
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation. CoRR abs/1903.01602 (2019) - [i21]Peng Zhou, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu, Larry S. Davis:
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning. CoRR abs/1904.01769 (2019) - [i20]Hengduo Li, Bharat Singh, Mahyar Najibi, Zuxuan Wu, Larry S. Davis:
An Analysis of Pre-Training on Object Detection. CoRR abs/1904.05871 (2019) - [i19]Zuxuan Wu, Xin Wang, Joseph E. Gonzalez, Tom Goldstein, Larry S. Davis:
ACE: Adapting to Changing Environments for Semantic Segmentation. CoRR abs/1904.06268 (2019) - [i18]Zuxuan Wu, Ser-Nam Lim, Larry Davis, Tom Goldstein:
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors. CoRR abs/1910.14667 (2019) - [i17]Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition. CoRR abs/1912.01601 (2019) - [i16]Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis:
Learning from Noisy Anchors for One-stage Object Detection. CoRR abs/1912.05086 (2019) - [i15]Zhe Wu, Zuxuan Wu, Bharat Singh, Larry S. Davis:
Recognizing Instagram Filtered Images with Feature De-stylization. CoRR abs/1912.13000 (2019) - 2018
- [j2]Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang:
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 352-364 (2018) - [j1]Yu-Gang Jiang, Zuxuan Wu, Jinhui Tang, Zechao Li, Xiangyang Xue, Shih-Fu Chang:
Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification. IEEE Trans. Multim. 20(11): 3137-3147 (2018) - [c20]Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, Larry S. Davis:
VITON: An Image-Based Virtual Try-On Network. CVPR 2018: 7543-7552 - [c19]Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogério Schmidt Feris:
BlockDrop: Dynamic Inference Paths in Residual Networks. CVPR 2018: 8817-8826 - [c18]Zuxuan Wu, Xintong Han, Yen-Liang Lin, Mustafa Gökhan Uzunbas, Tom Goldstein, Ser-Nam Lim, Larry S. Davis:
DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation. ECCV (5) 2018: 535-552 - [p1]Zuxuan Wu, Ting Yao, Yanwei Fu, Yu-Gang Jiang:
Deep learning for video classification and captioning. Frontiers of Multimedia Research 2018: 3-29 - [i14]Zuxuan Wu, Xintong Han, Yen-Liang Lin, Mustafa Gökhan Uzunbas, Tom Goldstein, Ser-Nam Lim, Larry S. Davis:
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation. CoRR abs/1804.05827 (2018) - [i13]Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis:
AdaFrame: Adaptive Frame Selection for Fast Video Recognition. CoRR abs/1811.12432 (2018) - 2017
- [c17]Xintong Han, Zuxuan Wu, Phoenix X. Huang, Xiao Zhang, Menglong Zhu, Yuan Li, Yang Zhao, Larry S. Davis:
Automatic Spatially-Aware Fashion Concept Discovery. ICCV 2017: 1472-1480 - [c16]Xintong Han, Zuxuan Wu, Yu-Gang Jiang, Larry S. Davis:
Learning Fashion Compatibility with Bidirectional LSTMs. ACM Multimedia 2017: 1078-1086 - [c15]Rui-Wei Zhao, Zuxuan Wu, Jianguo Li, Yu-Gang Jiang:
Learning Semantic Feature Map for Visual Content Recognition. ACM Multimedia 2017: 1291-1299 - [c14]Zuxuan Wu, Yu-Gang Jiang, Larry Davis, Shih-Fu Chang:
LSVC2017: Large-Scale Video Classification Challenge. ACM Multimedia 2017: 1978-1979 - [i12]Zuxuan Wu, Larry S. Davis, Leonid Sigal:
Weakly-Supervised Spatial Context Networks. CoRR abs/1704.02998 (2017) - [i11]Yu-Gang Jiang, Zuxuan Wu, Jinhui Tang, Zechao Li, Xiangyang Xue, Shih-Fu Chang:
Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification. CoRR abs/1706.04508 (2017) - [i10]Shaoxiang Chen, Xi Wang, Yongyi Tang, Xinpeng Chen, Zuxuan Wu, Yu-Gang Jiang:
Aggregating Frame-level Features for Large-Scale Video Classification. CoRR abs/1707.00803 (2017) - [i9]Xintong Han, Zuxuan Wu, Yu-Gang Jiang, Larry S. Davis:
Learning Fashion Compatibility with Bidirectional LSTMs. CoRR abs/1707.05691 (2017) - [i8]Xintong Han, Zuxuan Wu, Phoenix X. Huang, Xiao Zhang, Menglong Zhu, Yuan Li, Yang Zhao, Larry S. Davis:
Automatic Spatially-aware Fashion Concept Discovery. CoRR abs/1708.01311 (2017) - [i7]Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogério Schmidt Feris:
BlockDrop: Dynamic Inference Paths in Residual Networks. CoRR abs/1711.08393 (2017) - [i6]Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, Larry S. Davis:
VITON: An Image-based Virtual Try-on Network. CoRR abs/1711.08447 (2017) - 2016
- [c13]Zuxuan Wu, Yanwei Fu, Yu-Gang Jiang, Leonid Sigal:
Harnessing Object and Scene Semantics for Large-Scale Video Understanding. CVPR 2016: 3112-3121 - [c12]Chen Chen, Zuxuan Wu, Yu-Gang Jiang:
Emotion in Context: Deep Semantic Feature Fusion for Video Emotion Recognition. ACM Multimedia 2016: 127-131 - [c11]Yongqing Sun, Zuxuan Wu, Xi Wang, Hiroyuki Arai, Tetsuya Kinebuchi, Yu-Gang Jiang:
Exploiting Objects with LSTMs for Video Categorization. ACM Multimedia 2016: 142-146 - [c10]Zuxuan Wu, Yu-Gang Jiang, Xi Wang, Hao Ye, Xiangyang Xue:
Multi-Stream Multi-Class Fusion of Deep Networks for Video Classification. ACM Multimedia 2016: 791-800 - [i5]Zuxuan Wu, Ting Yao, Yanwei Fu, Yu-Gang Jiang:
Deep Learning for Video Classification and Captioning. CoRR abs/1609.06782 (2016) - 2015
- [c9]Qi Dai, Rui-Wei Zhao, Zuxuan Wu, Xi Wang, Zichen Gu, Wenhai Wu, Yu-Gang Jiang:
Fudan-Huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with Deep Learning. MediaEval 2015 - [c8]Hao Ye, Zuxuan Wu, Rui-Wei Zhao, Xi Wang, Yu-Gang Jiang, Xiangyang Xue:
Evaluating Two-Stream CNN for Video Classification. ICMR 2015: 435-442 - [c7]Zuxuan Wu, Xi Wang, Yu-Gang Jiang, Hao Ye, Xiangyang Xue:
Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification. ACM Multimedia 2015: 461-470 - [c6]Yongqing Sun, Zuxuan Wu, Xi Wang, Kyoko Sudo, Yukinobu Taniguchi, Tetsuya Kinebuchi, Yu-Gang Jiang:
NTT-Fudan Team @ TRECVID 2015: Multimedia Event Detection. TRECVID 2015 - [c5]Zuxuan Wu, Hao Ye, Yu-Gang Jiang, Xiangyang Xue:
Fudan at TRECVID 2015: Adaptive Feature Fusion for Multimedia Event Detection in Videos. TRECVID 2015 - [i4]Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang:
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks. CoRR abs/1502.07209 (2015) - [i3]Zuxuan Wu, Xi Wang, Yu-Gang Jiang, Hao Ye, Xiangyang Xue:
Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification. CoRR abs/1504.01561 (2015) - [i2]Hao Ye, Zuxuan Wu, Rui-Wei Zhao, Xi Wang, Yu-Gang Jiang, Xiangyang Xue:
Evaluating Two-Stream CNN for Video Classification. CoRR abs/1504.01920 (2015) - [i1]Zuxuan Wu, Yu-Gang Jiang, Xi Wang, Hao Ye, Xiangyang Xue, Jun Wang:
Fusing Multi-Stream Deep Networks for Video Classification. CoRR abs/1509.06086 (2015) - 2014
- [c4]Jian Tu, Zuxuan Wu, Qi Dai, Yu-Gang Jiang, Xiangyang Xue:
Challenge Huawei challenge: Fusing multimodal features with deep neural networks for Mobile Video Annotation. ICME Workshops 2014: 1-6 - [c3]Qi Dai, Zuxuan Wu, Yu-Gang Jiang, Xiangyang Xue, Jinhui Tang:
Fudan-NJUST at MediaEval 2014: Violent Scenes Detection Using Deep Neural Networks. MediaEval 2014 - [c2]Zuxuan Wu, Yu-Gang Jiang, Jun Wang, Jian Pu, Xiangyang Xue:
Exploring Inter-feature and Inter-class Relationships with Deep Neural Networks for Video Classification. ACM Multimedia 2014: 167-176 - [c1]Zuxuan Wu, Rui-Wei Zhao:
Fudan Team at TRECVID 2014: Multimedia Event Detection. TRECVID 2014
Coauthor Index
Larry Davis 0001
aka: Larry S. Davis
aka: Larry S. Davis
[j7] [j6] [j5] [c42] [i54] [i53] [i52] [j4] [c34] [c33] [i48] [i47] [i45] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [j3] [c22] [i17] [j2] [j1] [p1] [c16] [c15] [c14] [i11] [i10] [i9] [c13] [c12] [c11] [c10] [i5] [c9] [c8] [c7] [c6] [c5] [i4] [i3] [i2] [i1] [c4] [c3] [c2]
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