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2020 – today
- 2024
[c106]Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao:
Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day. ICLR 2024- [c105]Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, Yinfei Yang:
Ferret: Refer and Ground Anything Anywhere at Any Granularity. ICLR 2024 - [i48]Yi Huang, Jiancheng Huang, Yifan Liu, Mingfu Yan, Jiaxi Lv, Jianzhuang Liu, Wei Xiong, He Zhang, Shifeng Chen, Liangliang Cao:
Diffusion Model-Based Image Editing: A Survey. CoRR abs/2402.17525 (2024) - [i47]Hang Hua, Yunlong Tang, Ziyun Zeng, Liangliang Cao, Zhengyuan Yang, Hangfeng He, Chenliang Xu, Jiebo Luo:
MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models. CoRR abs/2410.09733 (2024) - [i46]Dejia Xu, Yifan Jiang, Chen Huang, Liangchen Song, Thorsten Gernoth, Liangliang Cao, Zhangyang Wang, Hao Tang:
Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention. CoRR abs/2410.10774 (2024) - 2023
- [c104]Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Yantao Zheng, Jonathon Shlens, Ruoming Pang, Yinfei Yang:
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. EMNLP 2023: 15079-15094 - [c103]Liangchen Song
, Liangliang Cao, Hongyu Xu, Kai Kang, Feng Tang, Junsong Yuan, Zhao Yang:
RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture. ACM Multimedia 2023: 6898-6906 - [i45]Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Jonathon Shlens, Ruoming Pang, Yinfei Yang:
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. CoRR abs/2301.13081 (2023) - [i44]Liangliang Cao, Bowen Zhang, Chen Chen, Yinfei Yang, Xianzhi Du, Wencong Zhang, Zhiyun Lu, Yantao Zheng:
Less is More: Removing Text-regions Improves CLIP Training Efficiency and Robustness. CoRR abs/2305.05095 (2023) - [i43]Liangchen Song, Liangliang Cao, Hongyu Xu, Kai Kang, Feng Tang, Junsong Yuan, Yang Zhao:
RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture. CoRR abs/2305.11337 (2023) - [i42]Cheng-I Jeff Lai, Zhiyun Lu, Liangliang Cao, Ruoming Pang:
Instruction-Following Speech Recognition. CoRR abs/2309.09843 (2023) - [i41]Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao:
Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day. CoRR abs/2310.03015 (2023) - [i40]Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, Yinfei Yang:
Ferret: Refer and Ground Anything Anywhere at Any Granularity. CoRR abs/2310.07704 (2023) - [i39]Liangchen Song, Liangliang Cao, Jiatao Gu, Yifan Jiang, Junsong Yuan, Hao Tang:
Efficient-NeRF2NeRF: Streamlining Text-Driven 3D Editing with Multiview Correspondence-Enhanced Diffusion Models. CoRR abs/2312.08563 (2023) - 2022
- [j26]Gopal Sharma, Bidya Dash, Aruni Roy Chowdhury, Matheus Gadelha, Marios Loizou, Liangliang Cao, Rui Wang, Erik G. Learned-Miller, Subhransu Maji, Evangelos Kalogerakis:
PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation. Comput. Graph. Forum 41(5): 39-50 (2022) - [j25]Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu:
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. IEEE J. Sel. Top. Signal Process. 16(6): 1519-1532 (2022) - [c102]Qiujia Li, Yu Zhang, David Qiu, Yanzhang He, Liangliang Cao, Philip C. Woodland:
Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition. ICASSP 2022: 6537-6541 - [i38]Taihong Xiao, Zirui Wang, Liangliang Cao, Jiahui Yu, Shengyang Dai, Ming-Hsuan Yang:
Exploiting Category Names for Few-Shot Classification with Vision-Language Models. CoRR abs/2211.16594 (2022) - 2021
- [c101]Qiujia Li, David Qiu, Yu Zhang, Bo Li, Yanzhang He, Philip C. Woodland, Liangliang Cao, Trevor Strohman:
Confidence Estimation for Attention-Based Sequence-to-Sequence Models for Speech Recognition. ICASSP 2021: 6388-6392 - [c100]David Qiu, Qiujia Li, Yanzhang He, Yu Zhang, Bo Li, Liangliang Cao, Rohit Prabhavalkar, Deepti Bhatia, Wei Li, Ke Hu, Tara N. Sainath, Ian McGraw:
Learning Word-Level Confidence for Subword End-To-End ASR. ICASSP 2021: 6393-6397 - [c99]Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao:
Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data. ICASSP 2021: 6558-6562 - [c98]Thibault Doutre, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Olivier Siohan, Liangliang Cao:
Bridging the Gap Between Streaming and Non-Streaming ASR Systems by Distilling Ensembles of CTC and RNN-T Models. Interspeech 2021: 1807-1811 - [c97]Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao:
Exploring Targeted Universal Adversarial Perturbations to End-to-End ASR Models. Interspeech 2021: 3460-3464 - [c96]Qiujia Li, Yu Zhang, Bo Li, Liangliang Cao, Philip C. Woodland:
Residual Energy-Based Models for End-to-End Speech Recognition. Interspeech 2021: 4069-4073 - [c95]David Qiu, Yanzhang He, Qiujia Li, Yu Zhang, Liangliang Cao, Ian McGraw:
Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction. Interspeech 2021: 4074-4078 - [c94]Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu:
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. SLT 2021: 873-880 - [i37]David Qiu, Qiujia Li, Yanzhang He, Yu Zhang, Bo Li, Liangliang Cao, Rohit Prabhavalkar, Deepti Bhatia, Wei Li, Ke Hu, Tara N. Sainath, Ian McGraw:
Learning Word-Level Confidence For Subword End-to-End ASR. CoRR abs/2103.06716 (2021) - [i36]Qiujia Li, Yu Zhang, Bo Li, Liangliang Cao, Philip C. Woodland:
Residual Energy-Based Models for End-to-End Speech Recognition. CoRR abs/2103.14152 (2021) - [i35]Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao:
Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models. CoRR abs/2104.02757 (2021) - [i34]David Qiu, Yanzhang He, Qiujia Li, Yu Zhang, Liangliang Cao, Ian McGraw:
Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction. CoRR abs/2104.12870 (2021) - [i33]Thibault Doutre, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Olivier Siohan, Liangliang Cao:
Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models. CoRR abs/2104.14346 (2021) - [i32]Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu:
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. CoRR abs/2109.13226 (2021) - [i31]Qiujia Li, Yu Zhang, David Qiu, Yanzhang He, Liangliang Cao, Philip C. Woodland:
Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition. CoRR abs/2110.03327 (2021) - [i30]Zhiyun Lu, Yanwei Pan, Thibault Doutre, Liangliang Cao, Rohit Prabhavalkar, Chao Zhang, Trevor Strohman:
Input Length Matters: An Empirical Study Of RNN-T And MWER Training For Long-form Telephony Speech Recognition. CoRR abs/2110.03841 (2021) - [i29]Gopal Sharma, Bidya Dash, Matheus Gadelha, Aruni RoyChowdhury, Marios Loizou, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds. CoRR abs/2112.13942 (2021) - 2020
- [j24]Qing Li, Xiaojiang Peng, Liangliang Cao, Wenbin Du, Hao Xing, Yu Qiao, Qiang Peng:
Product image recognition with guidance learning and noisy supervision. Comput. Vis. Image Underst. 196: 102963 (2020) - [c93]Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions. ECCV (10) 2020: 473-491 - [c92]Zonghai Yao, Liangliang Cao, Huapu Pan:
Zero-shot Entity Linking with Efficient Long Range Sequence Modeling. EMNLP (Findings) 2020: 2517-2522 - [c91]Zhiyun Lu, Liangliang Cao, Yu Zhang, Chung-Cheng Chiu, James Fan:
Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models. ICASSP 2020: 7149-7153 - [c90]Eric Chen, Zhiyun Lu, Hao Xu, Liangliang Cao, Yu Zhang, James Fan:
A Large Scale Speech Sentiment Corpus. LREC 2020: 6549-6555 - [c89]Jingya Liu, Liangliang Cao, Yingli Tian:
Deep Active Learning for Effective Pulmonary Nodule Detection. MICCAI (6) 2020: 609-618 - [i28]Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions. CoRR abs/2003.13834 (2020) - [i27]Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu:
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. CoRR abs/2005.03271 (2020) - [i26]Zonghai Yao, Liangliang Cao, Huapu Pan:
Zero-shot Entity Linking with Efficient Long Range Sequence Modeling. CoRR abs/2010.06065 (2020) - [i25]Qiujia Li, David Qiu, Yu Zhang, Bo Li, Yanzhang He, Philip C. Woodland, Liangliang Cao, Trevor Strohman:
Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition. CoRR abs/2010.11428 (2020) - [i24]Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao:
Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data. CoRR abs/2010.12096 (2020) - [i23]Junwei Liang, Liangliang Cao, Xuehan Xiong, Ting Yu, Alexander G. Hauptmann:
Spatial-Temporal Alignment Network for Action Recognition and Detection. CoRR abs/2012.02426 (2020)
2010 – 2019
- 2019
- [j23]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) - [c88]Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogério Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides:
Improving Object Detection from Scratch via Gated Feature Reuse. BMVC 2019: 247 - [c87]Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik G. Learned-Miller:
Automatic adaptation of object detectors to new domains using self-training. CVPR Workshops 2019: 22-32 - [c86]Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik G. Learned-Miller:
Automatic Adaptation of Object Detectors to New Domains Using Self-Training. CVPR 2019: 780-790 - [c85]Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian:
3DFPN-HS ^2 2 : 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection. MICCAI (6) 2019: 513-521 - [i22]Yujiao Lu, Hancheng Lu, Liangliang Cao, Feng Wu, Daren Zhu:
Learning Deterministic Policy with Target for Power Control in Wireless Networks. CoRR abs/1902.07903 (2019) - [i21]Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik G. Learned-Miller:
Automatic adaptation of object detectors to new domains using self-training. CoRR abs/1904.07305 (2019) - [i20]Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian:
3DFPN-HS2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection. CoRR abs/1906.03467 (2019) - [i19]Qing Li, Xiaojiang Peng, Liangliang Cao, Wenbin Du, Hao Xing, Yu Qiao:
Product Image Recognition with Guidance Learning and Noisy Supervision. CoRR abs/1907.11384 (2019) - [i18]Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian:
Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning. CoRR abs/1907.11704 (2019) - [i17]Zhiyun Lu, Liangliang Cao, Yu Zhang, Chung-Cheng Chiu, James Fan:
Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR Models. CoRR abs/1911.09762 (2019) - [i16]Zhen Li, Hanyang Shao, Nian Xue, Liang Niu, Liangliang Cao:
Progressive Learning Algorithm for Efficient Person Re-Identification. CoRR abs/1912.07447 (2019) - 2018
- [c84]Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann:
Focal Visual-Text Attention for Visual Question Answering. CVPR 2018: 6135-6143 - [c83]Yujiao Lu, Hancheng Lu, Liangliang Cao, Feng Wu, Daren Zhu:
Learning Deterministic Policy with Target for Power Control in Wireless Networks. GLOBECOM 2018: 1-7 - [c82]Hassan Akbari, Himani Arora, Liangliang Cao, Nima Mesgarani:
Lip2Audspec: Speech Reconstruction from Silent Lip Movements Video. ICASSP 2018: 2516-2520 - [c81]Wei Tan, Shiyu Chang, Liana Fong, Cheng Li, Zijun Wang, Liangliang Cao:
Matrix Factorization on GPUs with Memory Optimization and Approximate Computing. ICPP 2018: 26:1-26:10 - [i15]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) - [i14]Wei Tan, Shiyu Chang, Liana Fong, Cheng Li, Zijun Wang, Liangliang Cao:
Matrix Factorization on GPUs with Memory Optimization and Approximate Computing. CoRR abs/1808.03843 (2018) - 2017
- [j22]Shuqiang Jiang, Liangliang Cao, Jitao Sang, Jiebo Luo, Ramesh C. Jain:
Guest editorial: mobile visual tagging with mobile context. Multim. Syst. 23(6): 645-646 (2017) - [j21]Lei Wang, Xu Zhao, Yunfei Si, Liangliang Cao, Yuncai Liu:
Context-Associative Hierarchical Memory Model for Human Activity Recognition and Prediction. IEEE Trans. Multim. 19(3): 646-659 (2017) - [j20]Yuncheng Li, Liangliang Cao, Jiang Zhu, Jiebo Luo:
Mining Fashion Outfit Composition Using an End-to-End Deep Learning Approach on Set Data. IEEE Trans. Multim. 19(8): 1946-1955 (2017) - [j19]Quanzeng You, Ran Pang, Liangliang Cao, Jiebo Luo:
Image-Based Appraisal of Real Estate Properties. IEEE Trans. Multim. 19(12): 2751-2759 (2017) - [c80]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 - [c79]Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo, Li-Jia Li:
Learning from Noisy Labels with Distillation. ICCV 2017: 1928-1936 - [c78]Liangliang Cao:
ACM SIGMM Rising Star Award 2017. ACM Multimedia 2017: 819 - [c77]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 - [i13]Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo, Jia Li:
Learning from Noisy Labels with Distillation. CoRR abs/1703.02391 (2017) - [i12]Lu Jiang, Junwei Liang, Liangliang Cao, Yannis Kalantidis, Sachin Farfade, Alexander G. Hauptmann:
MemexQA: Visual Memex Question Answering. CoRR abs/1708.01336 (2017) - [i11]Hassan Akbari, Himani Arora, Liangliang Cao, Nima Mesgarani:
Lip2AudSpec: Speech reconstruction from silent lip movements video. CoRR abs/1710.09798 (2017) - [i10]Zhiqiang Shen, Honghui Shi, Rogério Schmidt Feris, Liangliang Cao, Shuicheng Yan, Ding Liu, Xinchao Wang, Xiangyang Xue, Thomas S. Huang:
Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids. CoRR abs/1712.00886 (2017) - 2016
- [j18]Chen Zhang, Hao Wang, Liangliang Cao, Wei Wang, Fanjiang Xu:
A hybrid term-term relations analysis approach for topic detection. Knowl. Based Syst. 93: 109-120 (2016) - [c76]Nikolai Yakovenko, Liangliang Cao, Colin Raffel, James Fan:
Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games Using Convolutional Networks. AAAI 2016: 360-368 - [c75]Yancheng Bai, Wenjing Ma, Yucheng Li, Liangliang Cao, Wen Guo, Luwei Yang:
Multi-Scale Fully Convolutional Network for Fast Face Detection. BMVC 2016 - [c74]Michael Gygli, Yale Song, Liangliang Cao:
Video2GIF: Automatic Generation of Animated GIFs from Video. CVPR 2016: 1001-1009 - [c73]Yuncheng Li, Yale Song, Liangliang Cao, Joel R. Tetreault, Larry Goldberg, Alejandro Jaimes, Jiebo Luo:
TGIF: A New Dataset and Benchmark on Animated GIF Description. CVPR 2016: 4641-4650 - [c72]Wei Tan, Liangliang Cao, Liana L. Fong:
Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs. HPDC 2016: 219-230 - [c71]Chang Wang, Liangliang Cao, James Fan:
Building Joint Spaces for Relation Extraction. IJCAI 2016: 2936-2942 - [c70]Wenjing Ma, Liangliang Cao, Lei Yu, Guoping Long, Yucheng Li:
GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring. ICMR 2016: 39-46 - [c69]Liangliang Cao, Jenhao Hsiao, Paloma de Juan, Yuncheng Li, Bart Thomee:
Incremental Learning for Fine-Grained Image Recognition. ICMR 2016: 363-366 - [c68]Quanzeng You, Liangliang Cao, Hailin Jin, Jiebo Luo:
Robust Visual-Textual Sentiment Analysis: When Attention meets Tree-structured Recursive Neural Networks. ACM Multimedia 2016: 1008-1017 - [c67]Rossano Schifanella, Paloma de Juan, Joel R. Tetreault, Liangliang Cao:
Detecting Sarcasm in Multimodal Social Platforms. ACM Multimedia 2016: 1136-1145 - [p3]Li-Jia Li, Rahul Kumar Jha, Bart Thomee, David Ayman Shamma, Liangliang Cao, Yang Wang:
Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos. Large-Scale Visual Geo-Localization 2016: 41-58 - [i9]Wei Tan, Liangliang Cao, Liana L. Fong:
Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs. CoRR abs/1603.03820 (2016) - [i8]Yuncheng Li, Yale Song, Liangliang Cao, Joel R. Tetreault, Larry Goldberg, Alejandro Jaimes, Jiebo Luo:
TGIF: A New Dataset and Benchmark on Animated GIF Description. CoRR abs/1604.02748 (2016) - [i7]Wenjing Ma, Liangliang Cao, Lei Yu, Guoping Long, Yucheng Li:
GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring. CoRR abs/1604.03498 (2016) - [i6]Michael Gygli, Yale Song, Liangliang Cao:
Video2GIF: Automatic Generation of Animated GIFs from Video. CoRR abs/1605.04850 (2016) - [i5]Rossano Schifanella, Paloma de Juan, Joel R. Tetreault, Liangliang Cao:
Detecting Sarcasm in Multimodal Social Platforms. CoRR abs/1608.02289 (2016) - [i4]Yuncheng Li, Liangliang Cao, Jiang Zhu, Jiebo Luo:
Mining Fashion Outfit Composition Using An End-to-End Deep Learning Approach on Set Data. CoRR abs/1608.03016 (2016) - 2015
- [j17]John R. Smith, Liangliang Cao, Noel C. F. Codella, Matthew L. Hill, Michele Merler, Quoc-Bao Nguyen, E. Pring, Rosario A. Uceda-Sosa:
Massive-scale learning of image and video semantic concepts. IBM J. Res. Dev. 59(2/3) (2015) - [j16]Wen Guo, Liangliang Cao, Tony X. Han, Shuicheng Yan, Changsheng Xu:
Max-Confidence Boosting With Uncertainty for Visual Tracking. IEEE Trans. Image Process. 24(5): 1650-1659 (2015) - [j15]Quanzeng You, Liangliang Cao, Yang Cong, Xianchao Zhang, Jiebo Luo:
A Multifaceted Approach to Social Multimedia-Based Prediction of Elections. IEEE Trans. Multim. 17(12): 2271-2280 (2015) - [c66]Michele Merler, Liangliang Cao, John R. Smith:
You are what you tweet...pic! gender prediction based on semantic analysis of social media images. ICME 2015: 1-6 - [c65]Chang Wang, Liangliang Cao, Bowen Zhou:
Medical Synonym Extraction with Concept Space Models. IJCAI 2015: 989-995 - [c64]Liangliang Cao, Zhicheng Yan, John R. Smith:
Multi-facet Learning using Deep Convolutional Neural Network for Person-Related Categories in Photos. ICMR 2015: 567-570 - [c63]Xinglong Ji, Mi Zhou, Liangcai Wu, Liangliang Cao, Zhitang Song:
Understanding the crystallization mechanism of Ge-Te-Ti phase change material. NVMTS 2015: 1-4 - [c62]John Bowler, Rogério Schmidt Feris, Liangliang Cao, Jun Wang, Mo Zhou:
Automated Axon Segmentation from Highly Noisy Microscopic Videos. WACV 2015: 915-920 - [c61]Meng Zhao, Hao Wang, Liangliang Cao, Chen Zhang, Hongzhi Yin, Fanjiang Xu:
LSIF: A System for Large-Scale Information Flow Detection Based on Topic-Related Semantic Similarity Measurement. WI-IAT (1) 2015: 417-424 - [i3]Xiaodan Liang, Liang Lin, Liangliang Cao:
Learning Latent Spatio-Temporal Compositional Model for Human Action Recognition. CoRR abs/1502.00258 (2015) - [i2]Chang Wang, Liangliang Cao, Bowen Zhou:
Medical Synonym Extraction with Concept Space Models. CoRR abs/1506.00528 (2015) - [i1]Nikolai Yakovenko, Liangliang Cao, Colin Raffel, James Fan:
Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games. CoRR abs/1509.06731 (2015) - 2014
- [j14]Yadong Mu, Yi Yang, Liangliang Cao, Shuicheng Yan, Qi Tian:
Guest Editorial: Special issue on large scale multimedia semantic indexing. Comput. Vis. Image Underst. 124: 1-2 (2014) - [j13]Rongrong Ji, Yi Yang, Nicu Sebe, Kiyoharu Aizawa, Liangliang Cao:
Large-Scale Geosocial Multimedia [Guest editorial]. IEEE Multim. 21(3): 7-9 (2014) - [c60]Jaeyoung Choi, Bart Thomee, Gerald Friedland, Liangliang Cao, Karl Ni, Damian Borth, Benjamin Elizalde, Luke R. Gottlieb, Carmen Carrano, Roger A. Pearce, Douglas Poland:
The Placing Task: A Large-Scale Geo-Estimation Challenge for Social-Media Videos and Images. GeoMM 2014: 27-31 - [c59]Felix X. Yu, Liangliang Cao, Michele Merler, Noel C. F. Codella, Tao Chen, John R. Smith, Shih-Fu Chang:
Modeling Attributes from Category-Attribute Proportions. ACM Multimedia 2014: 977-980 - [c58]Yu Bao, Jing Yang, Liangliang Cao, Haojie Li, Jinhui Tang:
Cuteness Recognition and Localization in the Photos of Animals. ACM Multimedia 2014: 1193-1196 - [c57]Liangliang Cao, Gerald Friedland, Lexing Xie:
GeoMM 2014: the third ACM multimedia workshop ongeotagging and its applications in multimedia. ACM Multimedia 2014: 1251-1252 - [c56]Yin Cui, Yongzhou Xiang, Kun Rong, Rogério Schmidt Feris, Liangliang Cao:
A spatial-color layout feature for representing galaxy images. WACV 2014: 213-219 - [c55]Somayah Albaradei, Yang Wang, Liangliang Cao, Li-Jia Li:
Learning mid-level features from object hierarchy for image classification. WACV 2014: 235-240 - [e3]Liangliang Cao, Gerald Friedland, Lexing Xie:
Proceedings of the 3rd ACM Multimedia Workshop on Geotagging and Its Applications in Multimedia, GeoMM '14, Orlando, Florida, USA, November 7, 2014. ACM 2014, ISBN 978-1-4503-3127-2 [contents] - 2013
- [j12]Ioannis Kompatsiaris, Wenjun Zeng, Gang Hua, Liangliang Cao:
Introduction to the special section of best papers of ACM multimedia 2012. ACM Trans. Multim. Comput. Commun. Appl. 9(1s): 50:1-50:2 (2013) - [c54]Xiaoyu Wang, Liangliang Cao, Rogério Schmidt Feris, Ankur Datta, Tony X. Han:
Hierarchical Feature Pooling with Structure Learning: A New Method for Pedestrian Detection. CVPR Workshops 2013: 578-583 - [c53]Felix X. Yu, Liangliang Cao, Rogério Schmidt Feris, John R. Smith, Shih-Fu Chang:
Designing Category-Level Attributes for Discriminative Visual Recognition. CVPR 2013: 771-778 - [c52]Qiang Chen, Zheng Song, Rogério Schmidt Feris, Ankur Datta, Liangliang Cao, ZhongYang Huang, Shuicheng Yan:
Efficient Maximum Appearance Search for Large-Scale Object Detection. CVPR 2013: 3190-3197 - [c51]Zhen Li, Shiyu Chang, Feng Liang, Thomas S. Huang, Liangliang Cao, John R. Smith:
Learning Locally-Adaptive Decision Functions for Person Verification. CVPR 2013: 3610-3617 - [c50]Noel C. F. Codella, Gang Hua, Liangliang Cao, Michele Merler, Leiguang Gong, Matthew L. Hill, John R. Smith:
Large-scale video event classification using dynamic temporal pyramid matching of visual semantics. ICIP 2013: 2877-2881 - [c49]Liangliang Cao, Leiguang Gong, John R. Kender, Noel C. F. Codella, John R. Smith:
Learning by focusing: A new framework for concept recognition and feature selection. ICME 2013: 1-6 - [c48]Xiaodan Liang, Liang Lin, Liangliang Cao:
Learning latent spatio-temporal compositional model for human action recognition. ACM Multimedia 2013: 263-272 - [c47]Liangliang Cao, Gerald Friedland, Pascal Kelm:
Second ACM multimedia workshop on geotagging and its applications in multimedia (GeoMM 2013). ACM Multimedia 2013: 1091-1092 - [c46]John R. Smith, Liangliang Cao:
Massive-scale multimedia semantic modeling. ACM Multimedia 2013: 1113-1114 - [c45]Yang Wang, Liangliang Cao:
Discovering Latent Clusters from Geotagged Beach Images. MMM (2) 2013: 133-142 - [c44]Lisa M. Brown, Liangliang Cao, Chih-Fu Chang, Yu Cheng, Alok N. Choudhary, Noel Codella, Courtenay V. Cotton, Dan Ellis, Quanfu Fan, Rogério Schmidt Feris, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Sharath Pankanti, John R. Smith, Felix X. Yu:
IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems. TRECVID 2013 - [p2]Yingli Tian, Liangliang Cao, Zicheng Liu, Zhengyou Zhang:
Action Detection by Fusing Hierarchically Filtered Motion with Spatiotemporal Interest Point Features. Human Behavior Recognition Technologies 2013: 249-267 - [e2]Liangliang Cao, Gerald Friedland, Pascal Kelm:
Proceedings of the 2nd ACM international workshop on Geotagging and its applications in multimedia, GeoMM@ACM Multimedia 2013, Barcelona, Spain, October 21, 2013. ACM 2013, ISBN 978-1-4503-2391-8 [contents] - 2012
- [j11]Liangliang Cao, Xin Jin, Zhijun Yin, Andrey Del Pozo, Jiebo Luo, Jiawei Han, Thomas S. Huang:
RankCompete: Simultaneous ranking and clustering of information networks. Neurocomputing 95: 98-104 (2012) - [j10]Guo-Jun Qi, Min-Hsuan Tsai, Shen-Fu Tsai, Liangliang Cao, Thomas S. Huang:
Web-Scale Multimedia Information Networks. Proc. IEEE 100(9): 2688-2704 (2012) - [j9]Zhijun Yin, Liangliang Cao, Quanquan Gu, Jiawei Han:
Latent Community Topic Analysis: Integration of Community Discovery with Topic Modeling. ACM Trans. Intell. Syst. Technol. 3(4): 63:1-63:21 (2012) - [j8]Yingli Tian, Liangliang Cao, Zicheng Liu, Zhengyou Zhang:
Hierarchical Filtered Motion for Action Recognition in Crowded Videos. IEEE Trans. Syst. Man Cybern. Part C 42(3): 313-323 (2012) - [c43]Liangliang Cao, Yuan-Chi Chang, Noel C. F. Codella, Michele Merler, Quoc-Bao Nguyen, John R. Smith:
IBM T.J. Watson Research Center, Multimedia Analytics: Modality Classification and Case-Based Retrieval Tasks of ImageCLEF2012. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c42]Zhen Li, Liangliang Cao, Shiyu Chang, John R. Smith, Thomas S. Huang:
Beyond Mahalanobis distance: Learning second-order discriminant function for people verification. CVPR Workshops 2012: 45-50 - [c41]Liangliang Cao, Yadong Mu, Apostol Natsev, Shih-Fu Chang, Gang Hua, John R. Smith:
Scene Aligned Pooling for Complex Video Recognition. ECCV (2) 2012: 688-701 - [c40]Zhen Wen, Mercan Topkara, Liangliang Cao, Ching-Yung Lin, Jennifer C. Lai:
How Multimedia in Enterprise Social Networks Matters to People's Performance. ICME Workshops 2012: 254-259 - [c39]Noel C. F. Codella, Apostol Natsev, Gang Hua, Matthew L. Hill, Liangliang Cao, Leiguang Gong, John R. Smith:
Video Event Detection Using Temporal Pyramids of Visual Semantics with Kernel Optimization and Model Subspace Boosting. ICME 2012: 747-752 - [c38]Liangliang Cao, Brian Cho, Hyun Duk Kim, Zhen Li, Min-Hsuan Tsai, Indranil Gupta:
Delta-SimRank computing on MapReduce. BigMine 2012: 28-35 - [c37]Liangliang Cao, Zhenguo Li, Yadong Mu, Shih-Fu Chang:
Submodular video hashing: a unified framework towards video pooling and indexing. ACM Multimedia 2012: 299-308 - [c36]Liangliang Cao, Gerald Friedland, Martha A. Larson:
GeoMM'12: ACM international workshop on geotagging and its applications in multimedia. ACM Multimedia 2012: 1511-1512 - [c35]Xiaodong Yang, Chucai Yi, Liangliang Cao, Yingli Tian:
MediaCCNY at TRECVID 2012: Surveillance Event Detection. TRECVID 2012 - [c34]Liangliang Cao, Shih-Fu Chang, Noel Codella, Courtenay V. Cotton, Dan Ellis, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, John R. Smith, Felix X. Yu:
IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems. TRECVID 2012 - [c33]Liangliang Cao, John R. Smith, Zhen Wen, Zhijun Yin, Xin Jin, Jiawei Han:
BlueFinder: estimate where a beach photo was taken. WWW (Companion Volume) 2012: 469-470 - [e1]Liangliang Cao, Gerald Friedland, Martha A. Larson:
Proceedings of the ACM multimedia 2012 workshop on Geotagging and its applications in multimedia, GeoMM@ACM Multimedia 2012, Nara, Japan, October 29, 2012. ACM 2012, ISBN 978-1-4503-1590-6 [contents] - 2011
- [b1]Liangliang Cao:
Heterogeneous Feature Fusion for Visual Recognition. University of Illinois Urbana-Champaign, USA, 2011 - [j7]Xin Jin, Sangkyum Kim, Jiawei Han, Liangliang Cao, Zhijun Yin:
A general framework for efficient clustering of large datasets based on activity detection. Stat. Anal. Data Min. 4(1): 11-29 (2011) - [c32]Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Ming Yang, Timothée Cour, Kai Yu, Liangliang Cao, Thomas S. Huang:
Large-scale image classification: Fast feature extraction and SVM training. CVPR 2011: 1689-1696 - [c31]Zhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang Zhai, Thomas S. Huang:
LPTA: A Probabilistic Model for Latent Periodic Topic Analysis. ICDM 2011: 904-913 - [c30]Shen-Fu Tsai, Liangliang Cao, Feng Tang, Thomas S. Huang:
Compositional object pattern: a new model for album event recognition. ACM Multimedia 2011: 1361-1364 - [c29]Zhen Li, Huazhong Ning, Liangliang Cao, Tong Zhang, Yihong Gong, Thomas S. Huang:
Learning to Search Efficiently in High Dimensions. NIPS 2011: 1710-1718 - [c28]Zhijun Yin, Liangliang Cao, Jiawei Han, Jiebo Luo, Thomas S. Huang:
Diversified Trajectory Pattern Ranking in Geo-tagged Social Media. SDM 2011: 980-991 - [c27]Liangliang Cao, Shih-Fu Chang, Noel Codella, Courtenay V. Cotton, Dan Ellis, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Apostol Natsev, John R. Smith:
IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System. TRECVID 2011 - [c26]Zhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang Zhai, Thomas S. Huang:
Geographical topic discovery and comparison. WWW 2011: 247-256 - [p1]Liangliang Cao, Guo-Jun Qi, Shen-Fu Tsai, Min-Hsuan Tsai, Andrey Del Pozo, Thomas S. Huang, Xuemei Zhang, Suk Hwan Lim:
Multimedia Information Networks in Social Media. Social Network Data Analytics 2011: 413-445 - 2010
- [j6]Shifeng Chen, Liangliang Cao, Yueming Wang, Jianzhuang Liu, Xiaoou Tang:
Image Segmentation by MAP-ML Estimations. IEEE Trans. Image Process. 19(9): 2254-2264 (2010) - [c25]Xin Jin, Jiawei Han, Liangliang Cao, Jiebo Luo, Bolin Ding, Cindy Xide Lin:
Visual cube and on-line analytical processing of images. CIKM 2010: 849-858 - [c24]Liangliang Cao, Zicheng Liu, Thomas S. Huang:
Cross-dataset action detection. CVPR 2010: 1998-2005 - [c23]Liangliang Cao, Jiebo Luo, Andrew C. Gallagher, Xin Jin, Jiawei Han, Thomas S. Huang:
A worldwide tourism recommendation system based on geotaggedweb photos. ICASSP 2010: 2274-2277 - [c22]Vuong Le, Hao Tang, Liangliang Cao, Thomas S. Huang:
Accurate and efficient reconstruction of 3D faces from stereo images. ICIP 2010: 4265-4268 - [c21]Liangliang Cao, Yingli Tian, Zicheng Liu, Benjamin Z. Yao, Zhengyou Zhang, Thomas S. Huang:
Action detection using multiple spatial-temporal interest point features. ICME 2010: 340-345 - [c20]Xin Jin, Andrew C. Gallagher, Liangliang Cao, Jiebo Luo, Jiawei Han:
The wisdom of social multimedia: using flickr for prediction and forecast. ACM Multimedia 2010: 1235-1244 - [c19]Mert Dikmen, Dennis J. Lin, Andrey Del Pozo, Liangliang Cao, Yun Fu, Thomas S. Huang:
A Study on Sampling Strategies in Space-Time Domain for Recognition Applications. MMM 2010: 465-476 - [c18]Ming Yang, Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Kai Yu, Mert Dikmen, Liangliang Cao, Thomas S. Huang:
Videos Semantic Indexing using Image Classification. TRECVID 2010 - [c17]Liangliang Cao, Andrey Del Pozo, Xin Jin, Jiebo Luo, Jiawei Han, Thomas S. Huang:
RankCompete: simultaneous ranking and clustering of web photos. WWW 2010: 1071-1072
2000 – 2009
- 2009
- [j5]Liangliang Cao, Jianzhuang Liu, Xiaoou Tang:
Responses to the Comments on "What the Back of the Object Looks Like: 3D Reconstruction from Line Drawings without Hidden Lines". IEEE Trans. Pattern Anal. Mach. Intell. 31(8): 1535-1536 (2009) - [j4]Jianzhuang Liu, Liangliang Cao, Zhenguo Li, Xiaoou Tang:
Responses to the Comments on "Plane-Based Optimization for 3D Object Reconstruction from Single Line Drawings". IEEE Trans. Pattern Anal. Mach. Intell. 31(9): 1726-1728 (2009) - [j3]Liangliang Cao, Jiebo Luo, Henry A. Kautz, Thomas S. Huang:
Image Annotation Within the Context of Personal Photo Collections Using Hierarchical Event and Scene Models. IEEE Trans. Multim. 11(2): 208-219 (2009) - [c16]Yuxiao Hu, Liangliang Cao, Fengjun Lv, Shuicheng Yan, Yihong Gong, Thomas S. Huang:
Action detection in complex scenes with spatial and temporal ambiguities. ICCV 2009: 128-135 - [c15]Liangliang Cao, Jiebo Luo, Feng Liang, Thomas S. Huang:
Heterogeneous feature machines for visual recognition. ICCV 2009: 1095-1102 - [c14]Liangliang Cao, Jie Yu, Jiebo Luo, Thomas S. Huang:
Enhancing semantic and geographic annotation of web images via logistic canonical correlation regression. ACM Multimedia 2009: 125-134 - [c13]Xin Jin, Sangkyum Kim, Jiawei Han, Liangliang Cao, Zhijun Yin:
GAD: General Activity Detection for Fast Clustering on Large Data. SDM 2009: 2-13 - 2008
- [j2]Jianzhuang Liu, Liangliang Cao, Zhenguo Li, Xiaoou Tang:
Plane-Based Optimization for 3D Object Reconstruction from Single Line Drawings. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 315-327 (2008) - [j1]Liangliang Cao, Jianzhuang Liu, Xiaoou Tang:
What the Back of the Object Looks Like: 3D Reconstruction from Line Drawings without Hidden Lines. IEEE Trans. Pattern Anal. Mach. Intell. 30(3): 507-517 (2008) - [c12]Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Huang:
Multiple feature fusion by subspace learning. CIVR 2008: 127-134 - [c11]Liangliang Cao, Jiebo Luo, Henry A. Kautz, Thomas S. Huang:
Annotating collections of photos using hierarchical event and scene models. CVPR 2008 - [c10]Liangliang Cao, Jiebo Luo, Thomas S. Huang:
Annotating photo collections by label propagation according to multiple similarity cues. ACM Multimedia 2008: 121-130 - [c9]Andrew C. Gallagher, Carman Neustaedter, Liangliang Cao, Jiebo Luo, Tsuhan Chen:
Image annotation using personal calendars as context. ACM Multimedia 2008: 681-684 - [c8]Liangliang Cao, Mert Dikmen, Yun Fu, Thomas S. Huang:
Gender recognition from body. ACM Multimedia 2008: 725-728 - [c7]Mert Dikmen, Huazhong Ning, Dennis J. Lin, Liangliang Cao, Vuong Le, Shen-Fu Tsai, Kai-Hsiang Lin, Zhen Li, Jianchao Yang, Thomas S. Huang, Fengjun Lv, Wei Xu, Ming Yang, Kai Yu, Guangyu Zhu, Yihong Gong:
Surveillance Event Detection. TRECVID 2008 - 2007
- [c6]Shifeng Chen, Liangliang Cao, Jianzhuang Liu, Xiaoou Tang:
Iterative MAP and ML Estimations for Image Segmentation. CVPR 2007 - [c5]Liangliang Cao, Li Fei-Fei:
Spatially Coherent Latent Topic Model for Concurrent Segmentation and Classification of Objects and Scenes. ICCV 2007: 1-8 - 2006
- [c4]Liangliang Cao, Jianzhuang Liu, Xiaoou Tang:
Degen Generalized Cylinders and Their Properties. ECCV (1) 2006: 83-94 - [c3]Shifeng Chen, Liangliang Cao, Jianzhuang Liu, Xiaoou Tang:
Automatic Segmentation of Lung Fields from Radiographic Images of SARS Patients Using a New Graph Cuts Algorithm. ICPR (1) 2006: 271-274 - [c2]Liangliang Cao, Jianzhuang Liu, Xiaoou Tang:
3D object retrieval using 2D line drawing and graph based relevance reedback. ACM Multimedia 2006: 105-108 - 2005
- [c1]Liangliang Cao, Jianzhuang Liu, Xiaoou Tang:
3D Object Reconstruction from a Single 2D Line Drawing without Hidden Lines. ICCV 2005: 272-277
Coauthor Index
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