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Kan Chen
Kan Chen
Research Scientist, Waymo
Verified email at waymo.com - Homepage
Title
Cited by
Cited by
Year
TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals
J Gao, Z Yang, K Chen, C Sun, R Nevatia
Computer Vision (ICCV) 2017. IEEE International Conference on, 2017
5342017
Billion-scale Semi-supervised Learning for Image Classification
IZ Yalniz, H Jégou, K Chen, M Paluri, D Mahajan
Arxiv preprint, 2019
4862019
Unbiased Teacher for Semi-Supervised Object Detection
YC Liu, CY Ma, Z He, CW Kuo, K Chen, P Zhang, B Wu, Z Kira, P Vajda
Learning Representations (ICLR) 2021, International Conference on, 2021
4252021
ABC-CNN: An attention based convolutional neural network for visual question answering
K Chen, J Wang, LC Chen, H Gao, W Xu, R Nevatia
Computer Vision and Pattern Recognition Workshop (CVPRW) 2016. IEEE …, 2016
3872016
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
A Wan*, X Dai*, P Zhang, Z He, Y Tian, S Xie, B Wu, M Yu, T Xu, K Chen, ...
Computer Vision and Pattern Recognition (CVPR) 2020. IEEE/CVF Conference on, 2020
3312020
Motion-Appearance Co-Memory Networks for Video Question Answering
J Gao*, R Ge*, K Chen, R Nevatia
Computer Vision and Pattern Recognition (CVPR) 2018. IEEE Conference on, 2018
2702018
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
B Varadarajan, A Hefny, A Srivastava, KS Refaat, N Nayakanti, ...
Robotics and Automation (ICRA) 2022, International Conference on, 2022
2192022
CTAP: Complementary Temporal Action Proposal Generation
J Gao*, K Chen*, R Nevatia
Computer Vision (ECCV) 2018, European Conference on, 2018
2082018
MAC: Mining Activity Concepts for Language-based Temporal Localization
R Ge, J Gao, K Chen, R Nevatia
Applications of Computer Vision (WACV) 2019, IEEE Winter Conference on, 2019
1832019
FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function
X Dai*, A Wan*, P Zhang*, B Wu, Z He, Z Wei, K Chen, Y Tian, M Yu, ...
Computer Vision and Pattern Recognition (CVPR) 2021. IEEE Conference on, 2021
171*2021
Cross-Domain Object Detection via Adaptive Self-Training
YJ Li, X Dai, CY Ma, YC Liu, K Chen, B Wu, Z He, K Kitani, P Vadja
Computer Vision and Pattern Recognition (CVPR) 2022. IEEE/CVF Conference on, 2022
145*2022
Zero-Shot Grounding of Objects from Natural Language Queries
A Sadhu, K Chen, R Nevatia
Computer Vision (ICCV) 2019. IEEE International Conference on, 2019
1432019
Query-guided Regression Network with Context Policy for Phrase Grounding
K Chen*, R Kovvuri*, R Nevatia
Computer Vision (ICCV) 2017. IEEE International Conference on, 2017
1332017
Estimating the 3D Layout of Indoor Scenes and its Clutter from Depth Sensors
J Zhang, K Chen, AG Schwing, R Urtasun
Computer Vision (ICCV) 2013. IEEE International Conference on, 2013
1082013
Knowledge Aided Consistency for Weakly Supervised Phrase Grounding
K Chen, J Gao, R Nevatia
Computer Vision and Pattern Recognition (CVPR) 2018. IEEE Conference on, 2018
1002018
Systems and methods for attention-based configurable convolutional neural networks (ABC-CNN) for visual question answering
K Chen, J Wang, W Xu
US Patent 9,965,705, 2018
882018
MSRC: Multimodal Spatial Regression with Semantic Context for Phrase Grounding
K Chen, R Kovvuri, J Gao, R Nevatia
International Conference on Multimedia Retrieval (ICMR) 2017. ACM Conference on, 2017
482017
Video Object Grounding using Semantic Roles in Language Description
A Sadhu, K Chen, R Nevatia
Computer Vision and Pattern Recognition (CVPR) 2020. IEEE/CVF Conference on, 2020
472020
AMC: Attention guided Multi-modal Correlation Learning for Image Search
K Chen, T Bui, C Fang, Z Wang, R Nevatia
Computer Vision and Pattern Recognition (CVPR) 2017. IEEE Conference on, 2017
462017
Visually Indicated Sound Generation by Perceptually Optimized Classification
K Chen*, C Zhang*, C Fang, Z Wang, T Bui, R Nevatia
Computer Vision MULA Workshop (ECCVW) 2018, European Conference on, 2018
342018
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Articles 1–20