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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 - [i46]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) - 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