- 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
- 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) - 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 - Zonghai Yao, Liangliang Cao, Huapu Pan:
Zero-shot Entity Linking with Efficient Long Range Sequence Modeling. EMNLP (Findings) 2020: 2517-2522 - 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 - Eric Chen, Zhiyun Lu, Hao Xu, Liangliang Cao, Yu Zhang, James Fan:
A Large Scale Speech Sentiment Corpus. LREC 2020: 6549-6555 - Jingya Liu, Liangliang Cao, Yingli Tian:
Deep Active Learning for Effective Pulmonary Nodule Detection. MICCAI (6) 2020: 609-618 - 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) - 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) - Zonghai Yao, Liangliang Cao, Huapu Pan:
Zero-shot Entity Linking with Efficient Long Range Sequence Modeling. CoRR abs/2010.06065 (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 abs/2010.11428 (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 abs/2010.12096 (2020) - 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) - 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): 1893-1908 (2019) - 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 - 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 - 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 - 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 - 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) - 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) - 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) - 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) - 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) - 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) - Zhen Li, Hanyang Shao, Nian Xue, Liang Niu, Liangliang Cao:
Progressive Learning Algorithm for Efficient Person Re-Identification. CoRR abs/1912.07447 (2019) - 2018
- Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann:
Focal Visual-Text Attention for Visual Question Answering. CVPR 2018: 6135-6143 - 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 - Hassan Akbari, Himani Arora, Liangliang Cao, Nima Mesgarani:
Lip2Audspec: Speech Reconstruction from Silent Lip Movements Video. ICASSP 2018: 2516-2520 - 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 - 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)