Liangliang Cao

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 92

Top Venues

Publications

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)
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)
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 (2024)
Cheng-I Jeff Lai, Zhiyun Lu, Liangliang Cao, Ruoming Pang
Instruction-Following Speech Recognition. CoRR (2023)
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 (2023)
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)
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 (2023)
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 (2023)
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)
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 (2023)
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 (2023)
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 (2023)
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) (2022)
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 (2022)
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)
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) (2022)
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 (2021)
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 (2021)
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 (2021)
Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao
Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models. CoRR (2021)
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)
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)
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 (2021)
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 (2021)
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 (2021)
Qiujia Li, Yu Zhang, Bo Li, Liangliang Cao, Philip C. Woodland
Residual Energy-Based Models for End-to-End Speech Recognition. Interspeech (2021)
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)
Qiujia Li, Yu Zhang, Bo Li, Liangliang Cao, Philip C. Woodland
Residual Energy-Based Models for End-to-End Speech Recognition. CoRR (2021)
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 (2021)
Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao
Exploring Targeted Universal Adversarial Perturbations to End-to-End ASR Models. Interspeech (2021)
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)
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)
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)
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)
Zonghai Yao, Liangliang Cao, Huapu Pan
Zero-shot Entity Linking with Efficient Long Range Sequence Modeling. EMNLP (Findings) (2020)
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 (2020)
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 (2020)
Jingya Liu, Liangliang Cao, Yingli Tian
Deep Active Learning for Effective Pulmonary Nodule Detection. MICCAI (6) (2020)
Junwei Liang, Liangliang Cao, Xuehan Xiong, Ting Yu, Alexander G. Hauptmann
Spatial-Temporal Alignment Network for Action Recognition and Detection. CoRR (2020)
Eric Chen, Zhiyun Lu, Hao Xu, Liangliang Cao, Yu Zhang, James Fan
A Large Scale Speech Sentiment Corpus. LREC (2020)
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)
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 (2020)
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 (2020)
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 (2020)
Zonghai Yao, Liangliang Cao, Huapu Pan
Zero-shot Entity Linking with Efficient Long Range Sequence Modeling. CoRR (2020)
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)
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) (2019)
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)
Zhen Li, Hanyang Shao, Nian Xue, Liang Niu, Liangliang Cao
Progressive Learning Algorithm for Efficient Person Re-Identification. CoRR (2019)
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)
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 (2019)
Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian
: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection. CoRR (2019)
Qing Li, Xiaojiang Peng, Liangliang Cao, Wenbin Du, Hao Xing, Yu Qiao
Product Image Recognition with Guidance Learning and Noisy Supervision. CoRR (2019)
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 (2019)
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 (2019)
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)
Yujiao Lu, Hancheng Lu, Liangliang Cao, Feng Wu, Daren Zhu
Learning Deterministic Policy with Target for Power Control in Wireless Networks. CoRR (2019)
Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann
Focal Visual-Text Attention for Visual Question Answering. CVPR (2018)
Hassan Akbari, Himani Arora, Liangliang Cao, Nima Mesgarani
Lip2Audspec: Speech Reconstruction from Silent Lip Movements Video. ICASSP (2018)
Yujiao Lu, Hancheng Lu, Liangliang Cao, Feng Wu, Daren Zhu
Learning Deterministic Policy with Target for Power Control in Wireless Networks. GLOBECOM (2018)
Wei Tan, Shiyu Chang, Liana Fong, Cheng Li, Zijun Wang, Liangliang Cao
Matrix Factorization on GPUs with Memory Optimization and Approximate Computing. ICPP (2018)
Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann
Focal Visual-Text Attention for Visual Question Answering. CoRR (2018)
Wei Tan, Shiyu Chang, Liana Fong, Cheng Li, Zijun Wang, Liangliang Cao
Matrix Factorization on GPUs with Memory Optimization and Approximate Computing. CoRR (2018)
Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo, Jia Li
Learning from Noisy Labels with Distillation. CoRR (2017)
Quanzeng You, Ran Pang, Liangliang Cao, Jiebo Luo
Image-Based Appraisal of Real Estate Properties. IEEE Trans. Multim. 19 (12) (2017)
Shuqiang Jiang, Liangliang Cao, Jitao Sang, Jiebo Luo, Ramesh C. Jain
Guest editorial: mobile visual tagging with mobile context. Multim. Syst. 23 (6) (2017)
Lu Jiang, Liangliang Cao, Yannis Kalantidis, Sachin Farfade, Alexander G. Hauptmann
Visual Memory QA: Your Personal Photo and Video Search Agent. AAAI (2017)
Liangliang Cao
ACM SIGMM Rising Star Award 2017. ACM Multimedia (2017)
Lu Jiang, Junwei Liang, Liangliang Cao, Yannis Kalantidis, Sachin Farfade, Alexander G. Hauptmann
MemexQA: Visual Memex Question Answering. CoRR (2017)
Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo, Li-Jia Li
Learning from Noisy Labels with Distillation. ICCV (2017)
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 (2017)
Hassan Akbari, Himani Arora, Liangliang Cao, Nima Mesgarani
Lip2AudSpec: Speech reconstruction from silent lip movements video. CoRR (2017)
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) (2017)
Lu Jiang, Yannis Kalantidis, Liangliang Cao, Sachin Farfade, Jiliang Tang, Alexander G. Hauptmann
Delving Deep into Personal Photo and Video Search. WSDM (2017)
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) (2017)
Wenjing Ma, Liangliang Cao, Lei Yu, Guoping Long, Yucheng Li
GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring. CoRR (2016)
Wei Tan, Liangliang Cao, Liana L. Fong
Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs. HPDC (2016)
Chang Wang, Liangliang Cao, James Fan
Building Joint Spaces for Relation Extraction. IJCAI (2016)
Yuncheng Li, Liangliang Cao, Jiang Zhu, Jiebo Luo
Mining Fashion Outfit Composition Using An End-to-End Deep Learning Approach on Set Data. CoRR (2016)
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)
Wei Tan, Liangliang Cao, Liana L. Fong
Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs. CoRR (2016)
Quanzeng You, Liangliang Cao, Hailin Jin, Jiebo Luo
Robust Visual-Textual Sentiment Analysis: When Attention meets Tree-structured Recursive Neural Networks. ACM Multimedia (2016)
Michael Gygli, Yale Song, Liangliang Cao
Video2GIF: Automatic Generation of Animated GIFs from Video. CVPR (2016)
Rossano Schifanella, Paloma de Juan, Joel R. Tetreault, Liangliang Cao
Detecting Sarcasm in Multimodal Social Platforms. CoRR (2016)
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)
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 (2016)
Rossano Schifanella, Paloma de Juan, Joel R. Tetreault, Liangliang Cao
Detecting Sarcasm in Multimodal Social Platforms. ACM Multimedia (2016)
Wenjing Ma, Liangliang Cao, Lei Yu, Guoping Long, Yucheng Li
GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring. ICMR (2016)
Michael Gygli, Yale Song, Liangliang Cao
Video2GIF: Automatic Generation of Animated GIFs from Video. CoRR (2016)
Chen Zhang, Hao Wang, Liangliang Cao, Wei Wang, Fanjiang Xu
A hybrid term-term relations analysis approach for topic detection. Knowl. Based Syst. 93 (2016)
Liangliang Cao, Jenhao Hsiao, Paloma de Juan, Yuncheng Li, Bart Thomee
Incremental Learning for Fine-Grained Image Recognition. ICMR (2016)
Yancheng Bai, Wenjing Ma, Yucheng Li, Liangliang Cao, Wen Guo, Luwei Yang
Multi-Scale Fully Convolutional Network for Fast Face Detection. BMVC (2016)
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) (2015)
Xiaodan Liang, Liang Lin, Liangliang Cao
Learning Latent Spatio-Temporal Compositional Model for Human Action Recognition. CoRR (2015)
John Bowler, Rogério Schmidt Feris, Liangliang Cao, Jun Wang, Mo Zhou
Automated Axon Segmentation from Highly Noisy Microscopic Videos. WACV (2015)
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)
Chang Wang, Liangliang Cao, Bowen Zhou
Medical Synonym Extraction with Concept Space Models. IJCAI (2015)
Chang Wang, Liangliang Cao, Bowen Zhou
Medical Synonym Extraction with Concept Space Models. CoRR (2015)
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) (2015)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Liangliang Cao