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ORCIDLu Jiang 0004
Person information
- affiliation: Google AI, Mountain View, CA, USA
- affiliation: Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
Other persons with the same name
- Lu Jiang — disambiguation page
- Lu Jiang 0001 — Xi'an Jiaotong University, MOE KLINNS Lab and SKLMS Lab, China
- Lu Jiang 0002 — Duke University
- Lu Jiang 0003 — Beijing Normal University, College of Psychology, China
- Lu Jiang 0005 — Beijing Institute of Technology, School of Automation, China
- Lu Jiang 0006 — University of Maryland, College Park, MD, USA
- Lu Jiang 0007
![[0000-0003-4529-8114]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4529-8114")
— Northeast Normal University, Information Science and Technology, Changchun, China
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2020 – today
- 2024
[c71]Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai, Lu Jiang, Ming-Hsuan Yang:
Text-Driven Image Editing via Learnable Regions. CVPR 2024: 7059-7068- [c70]Yanzhe Zhang, Lu Jiang, Greg Turk, Diyi Yang:
Auditing Gender Presentation Differences in Text-to-Image Models. EAAMO 2024: 12:1-12:10 - [c69]Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Fei-Fei Li, Irfan Essa, Lu Jiang, José Lezama:
Photorealistic Video Generation with Diffusion Models. ECCV (79) 2024: 393-411 - [c68]Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang:
Language Model Beats Diffusion - Tokenizer is key to visual generation. ICLR 2024 - [c67]Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Joshua V. Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A. Ross, Bryan Seybold, Lu Jiang:
VideoPoet: A Large Language Model for Zero-Shot Video Generation. ICML 2024 - [i46]Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su, Brendan Jou, José Lezama, Agrim Gupta, Lijun Yu, Lu Jiang, Aren Jansen, Jacob Walker, Krishna Somandepalli:
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation. CoRR abs/2405.13762 (2024) - 2023
- [j9]Yu Wu, Lu Jiang, Yi Yang:
Switchable Novel Object Captioner. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1162-1173 (2023) - [c66]Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang:
MAGVIT: Masked Generative Video Transformer. CVPR 2023: 10459-10469 - [c65]Kihyuk Sohn, Huiwen Chang, José Lezama, Luisa Polania, Han Zhang, Yuan Hao, Irfan Essa, Lu Jiang:
Visual Prompt Tuning for Generative Transfer Learning. CVPR 2023: 19840-19851 - [c64]José Lezama, Tim Salimans, Lu Jiang, Huiwen Chang, Jonathan Ho, Irfan Essa:
Discrete Predictor-Corrector Diffusion Models for Image Synthesis. ICLR 2023 - [c63]Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan:
Muse: Text-To-Image Generation via Masked Generative Transformers. ICML 2023: 4055-4075 - [c62]Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin:
StyleDrop: Text-to-Image Synthesis of Any Style. NeurIPS 2023 - [c61]Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin P. Murphy, Alexander G. Hauptmann, Lu Jiang:
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. NeurIPS 2023 - [i45]Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan:
Muse: Text-To-Image Generation via Masked Generative Transformers. CoRR abs/2301.00704 (2023) - [i44]Yanzhe Zhang, Lu Jiang, Greg Turk, Diyi Yang:
Auditing Gender Presentation Differences in Text-to-Image Models. CoRR abs/2302.03675 (2023) - [i43]Kihyuk Sohn, Albert E. Shaw, Yuan Hao, Han Zhang, Luisa Polania, Huiwen Chang, Lu Jiang, Irfan Essa:
Learning Disentangled Prompts for Compositional Image Synthesis. CoRR abs/2306.00763 (2023) - [i42]Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan:
StyleDrop: Text-to-Image Generation in Any Style. CoRR abs/2306.00983 (2023) - [i41]Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin Murphy, Alexander G. Hauptmann, Lu Jiang:
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. CoRR abs/2306.17842 (2023) - [i40]Liangzhe Yuan, Nitesh Bharadwaj Gundavarapu, Long Zhao, Hao Zhou, Yin Cui, Lu Jiang, Xuan Yang, Menglin Jia, Tobias Weyand, Luke Friedman, Mikhail Sirotenko, Huisheng Wang, Florian Schroff, Hartwig Adam, Ming-Hsuan Yang, Ting Liu, Boqing Gong:
VideoGLUE: Video General Understanding Evaluation of Foundation Models. CoRR abs/2307.03166 (2023) - [i39]Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang:
Language Model Beats Diffusion - Tokenizer is Key to Visual Generation. CoRR abs/2310.05737 (2023) - [i38]Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai, Lu Jiang, Ming-Hsuan Yang:
Text-Driven Image Editing via Learnable Regions. CoRR abs/2311.16432 (2023) - [i37]Hsin-Ping Huang, Yu-Chuan Su, Deqing Sun, Lu Jiang, Xuhui Jia, Yukun Zhu, Ming-Hsuan Yang:
Fine-grained Controllable Video Generation via Object Appearance and Context. CoRR abs/2312.02919 (2023) - [i36]Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, José Lezama:
Photorealistic Video Generation with Diffusion Models. CoRR abs/2312.06662 (2023) - [i35]Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Rachel Hornung, Hartwig Adam, Hassan Akbari, Yair Alon, Vighnesh Birodkar, Yong Cheng, Ming-Chang Chiu, Joshua V. Dillon, Irfan Essa, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, David A. Ross, Grant Schindler, Mikhail Sirotenko, Kihyuk Sohn, Krishna Somandepalli, Huisheng Wang, Jimmy Yan, Ming-Hsuan Yang, Xuan Yang, Bryan Seybold, Lu Jiang:
VideoPoet: A Large Language Model for Zero-Shot Video Generation. CoRR abs/2312.14125 (2023) - 2022
- [j8]Guoliang Kang, Lu Jiang, Yunchao Wei, Yi Yang, Alexander Hauptmann:
Contrastive Adaptation Network for Single- and Multi-Source Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1793-1804 (2022) - [c60]Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman:
MaskGIT: Masked Generative Image Transformer. CVPR 2022: 11305-11315 - [c59]Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun:
Pyramid Adversarial Training Improves ViT Performance. CVPR 2022: 13409-13419 - [c58]José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa:
Improved Masked Image Generation with Token-Critic. ECCV (23) 2022: 70-86 - [c57]Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa:
BLT: Bidirectional Layout Transformer for Controllable Layout Generation. ECCV (17) 2022: 474-490 - [c56]Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu:
ViTGAN: Training GANs with Vision Transformers. ICLR 2022 - [c55]Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa:
Discrete Representations Strengthen Vision Transformer Robustness. ICLR 2022 - [i34]Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman:
MaskGIT: Masked Generative Image Transformer. CoRR abs/2202.04200 (2022) - [i33]José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa:
Improved Masked Image Generation with Token-Critic. CoRR abs/2209.04439 (2022) - [i32]Kihyuk Sohn, Yuan Hao, José Lezama, Luisa Polania, Huiwen Chang, Han Zhang, Irfan Essa, Lu Jiang:
Visual Prompt Tuning for Generative Transfer Learning. CoRR abs/2210.00990 (2022) - [i31]Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang:
MAGVIT: Masked Generative Video Transformer. CoRR abs/2212.05199 (2022) - 2021
- [j7]Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang:
Confident Learning: Estimating Uncertainty in Dataset Labels. J. Artif. Intell. Res. 70: 1373-1411 (2021) - [c54]Youjiang Xu, Linchao Zhu, Lu Jiang, Yi Yang:
Faster Meta Update Strategy for Noise-Robust Deep Learning. CVPR 2021: 144-153 - [c53]Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang:
Regularizing Generative Adversarial Networks Under Limited Data. CVPR 2021: 7921-7931 - [c52]Yong Cheng, Wei Wang, Lu Jiang, Wolfgang Macherey:
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation. ICML 2021: 1825-1835 - [c51]Tianhao Zhang, Hung-Yu Tseng, Lu Jiang, Weilong Yang, Honglak Lee, Irfan Essa:
Text as Neural Operator: Image Manipulation by Text Instruction. ACM Multimedia 2021: 1893-1902 - [c50]Yijun Li, Lu Jiang, Ming-Hsuan Yang:
Controllable and Progressive Image Extrapolation. WACV 2021: 2139-2148 - [i30]Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang:
Regularizing Generative Adversarial Networks under Limited Data. CoRR abs/2104.03310 (2021) - [i29]Youjiang Xu, Linchao Zhu, Lu Jiang, Yi Yang:
Faster Meta Update Strategy for Noise-Robust Deep Learning. CoRR abs/2104.15092 (2021) - [i28]Yong Cheng, Wei Wang, Lu Jiang, Wolfgang Macherey:
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation. CoRR abs/2106.04060 (2021) - [i27]Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu:
ViTGAN: Training GANs with Vision Transformers. CoRR abs/2107.04589 (2021) - [i26]Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa:
Discrete Representations Strengthen Vision Transformer Robustness. CoRR abs/2111.10493 (2021) - [i25]Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun:
Pyramid Adversarial Training Improves ViT Performance. CoRR abs/2111.15121 (2021) - [i24]Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa:
BLT: Bidirectional Layout Transformer for Controllable Layout Generation. CoRR abs/2112.05112 (2021) - 2020
- [j6]Yu Wu, Lu Jiang, Yi Yang:
Revisiting EmbodiedQA: A Simple Baseline and Beyond. IEEE Trans. Image Process. 29: 3984-3992 (2020) - [c49]Yong Cheng, Lu Jiang, Wolfgang Macherey, Jacob Eisenstein:
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation. ACL 2020: 5961-5970 - [c48]Junwei Liang, Lu Jiang, Kevin P. Murphy, Ting Yu, Alexander G. Hauptmann:
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction. CVPR 2020: 10505-10515 - [c47]Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang, Ming-Hsuan Yang, Weilong Yang:
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval. ECCV (8) 2020: 242-257 - [c46]Junwei Liang, Lu Jiang, Alexander G. Hauptmann:
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction. ECCV (13) 2020: 275-292 - [c45]Hsin-Ying Lee, Lu Jiang, Irfan Essa, Phuong B. Le, Haifeng Gong, Ming-Hsuan Yang, Weilong Yang:
Neural Design Network: Graphic Layout Generation with Constraints. ECCV (3) 2020: 491-506 - [c44]Lu Jiang, Di Huang, Mason Liu, Weilong Yang:
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels. ICML 2020: 4804-4815 - [i23]Junwei Liang, Lu Jiang, Alexander G. Hauptmann:
SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras. CoRR abs/2004.02022 (2020) - [i22]Yong Cheng, Lu Jiang, Wolfgang Macherey, Jacob Eisenstein:
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation. CoRR abs/2006.11834 (2020) - [i21]Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang, Ming-Hsuan Yang, Weilong Yang:
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval. CoRR abs/2007.08513 (2020) - [i20]Tianhao Zhang, Hung-Yu Tseng, Lu Jiang, Honglak Lee, Irfan Essa, Weilong Yang:
Text as Neural Operator: Image Manipulation by Text Instruction. CoRR abs/2008.04556 (2020)
2010 – 2019
- 2019
- [j5]Junwei Liang, Lu Jiang, Liangliang Cao, Yannis Kalantidis, Li-Jia Li, Alexander G. Hauptmann:
Focal Visual-Text Attention for Memex Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1893-1908 (2019) - [c43]Yong Cheng, Lu Jiang, Wolfgang Macherey:
Robust Neural Machine Translation with Doubly Adversarial Inputs. ACL (1) 2019: 4324-4333 - [c42]Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G. Hauptmann, Li Fei-Fei:
Peeking Into the Future: Predicting Future Person Activities and Locations in Videos. CVPR Workshops 2019: 2960-2963 - [c41]Guoliang Kang, Lu Jiang, Yi Yang, Alexander G. Hauptmann:
Contrastive Adaptation Network for Unsupervised Domain Adaptation. CVPR 2019: 4893-4902 - [c40]Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G. Hauptmann, Li Fei-Fei:
Peeking Into the Future: Predicting Future Person Activities and Locations in Videos. CVPR 2019: 5725-5734 - [c39]Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays:
Composing Text and Image for Image Retrieval - an Empirical Odyssey. CVPR 2019: 6439-6448 - [c38]Yunbo Wang, Lu Jiang, Ming-Hsuan Yang, Li-Jia Li, Mingsheng Long, Li Fei-Fei:
Eidetic 3D LSTM: A Model for Video Prediction and Beyond. ICLR (Poster) 2019 - [i19]Guoliang Kang, Lu Jiang, Yi Yang, Alexander G. Hauptmann:
Contrastive Adaptation Network for Unsupervised Domain Adaptation. CoRR abs/1901.00976 (2019) - [i18]Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G. Hauptmann, Li Fei-Fei:
Peeking into the Future: Predicting Future Person Activities and Locations in Videos. CoRR abs/1902.03748 (2019) - [i17]Nam Vo, Lu Jiang, James Hays:
Let's Transfer Transformations of Shared Semantic Representations. CoRR abs/1903.00793 (2019) - [i16]Yu Wu, Lu Jiang, Yi Yang:
Revisiting EmbodiedQA: A Simple Baseline and Beyond. CoRR abs/1904.04166 (2019) - [i15]Yong Cheng, Lu Jiang, Wolfgang Macherey:
Robust Neural Machine Translation with Doubly Adversarial Inputs. CoRR abs/1906.02443 (2019) - [i14]Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng:
Feature Partitioning for Efficient Multi-Task Architectures. CoRR abs/1908.04339 (2019) - [i13]Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang:
Confident Learning: Estimating Uncertainty in Dataset Labels. CoRR abs/1911.00068 (2019) - [i12]Junwei Liang, Lu Jiang, Kevin P. Murphy, Ting Yu, Alexander G. Hauptmann:
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction. CoRR abs/1912.06445 (2019) - [i11]Hsin-Ying Lee, Weilong Yang, Lu Jiang, Madison Le, Irfan Essa, Haifeng Gong, Ming-Hsuan Yang:
Neural Design Network: Graphic Layout Generation with Constraints. CoRR abs/1912.09421 (2019) - [i10]Yijun Li, Lu Jiang, Ming-Hsuan Yang:
Controllable and Progressive Image Extrapolation. CoRR abs/1912.11711 (2019) - 2018
- [c37]Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann:
Focal Visual-Text Attention for Visual Question Answering. CVPR 2018: 6135-6143 - [c36]Zelun Luo, Jun-Ting Hsieh, Lu Jiang, Juan Carlos Niebles, Li Fei-Fei:
Graph Distillation for Action Detection with Privileged Modalities. ECCV (14) 2018: 174-192 - [c35]Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei:
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels. ICML 2018: 2309-2318 - [c34]Yu Wu, Linchao Zhu, Lu Jiang, Yi Yang:
Decoupled Novel Object Captioner. ACM Multimedia 2018: 1029-1037 - [i9]Yu Wu, Linchao Zhu, Lu Jiang, Yi Yang:
Decoupled Novel Object Captioner. CoRR abs/1804.03803 (2018) - [i8]Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann:
Focal Visual-Text Attention for Visual Question Answering. CoRR abs/1806.01873 (2018) - [i7]Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays:
Composing Text and Image for Image Retrieval - An Empirical Odyssey. CoRR abs/1812.07119 (2018) - 2017
- [j4]Deyu Meng, Qian Zhao, Lu Jiang:
A theoretical understanding of self-paced learning. Inf. Sci. 414: 319-328 (2017) - [j3]Dingwen Zhang, Junwei Han, Lu Jiang, Senmao Ye, Xiaojun Chang:
Revealing Event Saliency in Unconstrained Video Collection. IEEE Trans. Image Process. 26(4): 1746-1758 (2017) - [c33]Lu Jiang, Liangliang Cao, Yannis Kalantidis, Sachin Farfade, Alexander G. Hauptmann:
Visual Memory QA: Your Personal Photo and Video Search Agent. AAAI 2017: 5093-5094 - [c32]Junwei Liang, Desai Fan, Han Lu, Poyao Huang, Jia Chen, Lu Jiang, Alexander G. Hauptmann:
An Event Reconstruction Tool for Conflict Monitoring Using Social Media. AAAI 2017: 5097-5098 - [c31]Junwei Liang, Lu Jiang, Alexander G. Hauptmann:
Webly-Supervised Learning of Multimodal Video Detectors. AAAI 2017: 5099-5100 - [c30]Junwei Liang, Lu Jiang, Alexander G. Hauptmann:
Temporal localization of audio events for conflict monitoring in social media. ICASSP 2017: 1597-1601 - [c29]Junwei Liang, Lu Jiang, Deyu Meng, Alexander G. Hauptmann:
Leveraging Multi-modal Prior Knowledge for Large-scale Concept Learning in Noisy Web Data. ICMR 2017: 32-40 - [c28]De Cheng, Lu Jiang, Yihong Gong, Nanning Zheng, Alexander G. Hauptmann:
Video Search via Ranking Network with Very Few Query Exemplars. MMM (2) 2017: 419-430 - [c27]Lu Jiang, Yannis Kalantidis, Liangliang Cao, Sachin Farfade, Jiliang Tang, Alexander G. Hauptmann:
Delving Deep into Personal Photo and Video Search. WSDM 2017: 801-810 - [i6]Poyao Huang, Ye Yuan, Zhen-Zhong Lan, Lu Jiang, Alexander G. Hauptmann:
Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video Classification. CoRR abs/1707.01408 (2017) - [i5]Lu Jiang, Junwei Liang, Liangliang Cao, Yannis Kalantidis, Sachin Farfade, Alexander G. Hauptmann:
MemexQA: Visual Memex Question Answering. CoRR abs/1708.01336 (2017) - [i4]Zelun Luo, Lu Jiang, Jun-Ting Hsieh, Juan Carlos Niebles, Li Fei-Fei:
Graph Distillation for Action Detection with Privileged Information. CoRR abs/1712.00108 (2017) - [i3]Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei:
MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels. CoRR abs/1712.05055 (2017) - 2016
- [j2]Lu Jiang, Shoou-I Yu, Deyu Meng, Teruko Mitamura, Alexander G. Hauptmann:
Text-to-video: a semantic search engine for internet videos. Int. J. Multim. Inf. Retr. 5(1): 3-18 (2016) - [c26]Junwei Liang, Lu Jiang, Deyu Meng, Alexander G. Hauptmann:
Learning to Detect Concepts from Webly-Labeled Video Data. IJCAI 2016: 1746-1752 - [c25]Junwei Liang, Jia Chen, Poyao Huang, Xuanchong Li, Lu Jiang, Zhenzhong Lan, Pingbo Pan, Hehe Fan, Qin Jin, Jiande Sun, Yang Chen, Yi Yang, Alexander G. Hauptmann:
Informedia @ TRECVID 2016. TRECVID 2016 - [c24]Lu Jiang:
Web-scale Multimedia Search for Internet Video Content. WSDM 2016: 701 - [c23]Lu Jiang:
Web-scale Multimedia Search for Internet Video Content. WWW (Companion Volume) 2016: 311-316 - [i2]Shoou-I Yu, Yi Yang, Zhongwen Xu, Shicheng Xu, Deyu Meng, Zexi Mao, Zhigang Ma, Ming Lin, Xuanchong Li, Huan Li, Zhen-Zhong Lan, Lu Jiang, Alexander G. Hauptmann, Chuang Gan, Xingzhong Du, Xiaojun Chang:
Strategies for Searching Video Content with Text Queries or Video Examples. CoRR abs/1606.05705 (2016) - [i1]Junwei Liang, Lu Jiang, Deyu Meng, Alexander G. Hauptmann:
Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning. CoRR abs/1607.04780 (2016) - 2015
- [c22]Lu Jiang, Deyu Meng, Qian Zhao, Shiguang Shan, Alexander G. Hauptmann:
Self-Paced Curriculum Learning. AAAI 2015: 2694-2700 - [c21]Qian Zhao, Deyu Meng, Lu Jiang, Qi Xie, Zongben Xu, Alexander G. Hauptmann:
Self-Paced Learning for Matrix Factorization. AAAI 2015: 3196-3202 - [c20]Dingwen Zhang, Deyu Meng, Chao Li, Lu Jiang, Qian Zhao, Junwei Han:
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection. ICCV 2015: 594-602 - [c19]Lu Jiang, Shoou-I Yu, Deyu Meng, Teruko Mitamura, Alexander G. Hauptmann:
Bridging the Ultimate Semantic Gap: A Semantic Search Engine for Internet Videos. ICMR 2015: 27-34 - [c18]Shoou-I Yu, Lu Jiang, Zhongwen Xu, Yi Yang, Alexander G. Hauptmann:
Content-Based Video Search over 1 Million Videos with 1 Core in 1 Second. ICMR 2015: 419-426 - [c17]Shicheng Xu, Huan Li, Xiaojun Chang, Shoou-I Yu, Xingzhong Du, Xuanchong Li, Lu Jiang, Zexi Mao, Zhen-Zhong Lan, Susanne Burger, Alexander G. Hauptmann:
Incremental Multimodal Query Construction for Video Search. ICMR 2015: 675-678 - [c16]Lu Jiang, Shoou-I Yu, Deyu Meng, Yi Yang, Teruko Mitamura, Alexander G. Hauptmann:
Fast and Accurate Content-based Semantic Search in 100M Internet Videos. ACM Multimedia 2015: 49-58 - [c15]Zhuo Chen, Lu Jiang, Wenlu Hu, Kiryong Ha, Brandon Amos, Padmanabhan Pillai, Alexander G. Hauptmann, Mahadev Satyanarayanan:
Early Implementation Experience with Wearable Cognitive Assistance Applications. WearSys@MobiSys 2015: 33-38 - [c14]Shoou-I Yu, Lu Jiang, Zhongwen Xu, Zhenzhong Lan, Shicheng Xu, Xiaojun Chang, Xuanchong Li, Zexi Mao, Chuang Gan, Yajie Miao, Xingzhong Du, Yang Cai, Lara J. Martin, Nikolas Wolfe, Anurag Kumar, Huan Li, Ming Lin, Zhigang Ma, Yi Yang, Deyu Meng, Shiguang Shan, Pinar Duygulu Sahin, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Teruko Mitamura, Richard M. Stern, Alexander G. Hauptmann:
CMU Informedia@TRECVID 2015: MED/SIN/LNK/SED. TRECVID 2015 - 2014
- [j1]Wei Tong, Yi Yang, Lu Jiang, Shoou-I Yu, Zhen-zhong Lan, Zhigang Ma, Waito Sze, Ehsan Younessian, Alexander G. Hauptmann:
E-LAMP: integration of innovative ideas for multimedia event detection. Mach. Vis. Appl. 25(1): 5-15 (2014) - [c13]Luyu Yang, Chenqiang Gao, Deyu Meng, Lu Jiang:
A Novel Group-Sparsity-Optimization-Based Feature Selection Model for Complex Interaction Recognition. ACCV (5) 2014: 508-521 - [c12]Lu Jiang, Wei Tong, Deyu Meng, Alexander G. Hauptmann:
Towards Efficient Learning of Optimal Spatial Bag-of-Words Representations. ICMR 2014: 121 - [c11]Lu Jiang, Yajie Miao, Yi Yang, Zhen-Zhong Lan, Alexander G. Hauptmann:
Viral Video Style: A Closer Look at Viral Videos on YouTube. ICMR 2014: 193