Sun, Chen

ViViT: A Video Vision Transformer

Arnab, A., Dehghani, M., Heigold, G., Sun, C., Lucic, M., & Schmid, C. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 2,767

Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors

Huang, J., Rathod, V., Sun, C., Zhu, M., Korattikara, A., Fathi, A., Fischer, I., Wojna, Z., Song, Y., Guadarrama, S., et al. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,743

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Sun, C., Shrivastava, A., Singh, S., & Gupta, A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,484

The iNaturalist Species Classification and Detection Dataset

Van Horn, G., Mac Aodha, O., Song, Y., Cui, Y., Sun, C., Shepard, A., Adam, H., Perona, P., & Belongie, S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,451

What makes for good views for contrastive learning

Tian, Y., Sun, C., Poole, B., Krishnan, D., Schmid, C., & Isola, P. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 773

Multi-modal Transformer for Video Retrieval

Gabeur, V., Sun, C., Alahari, K., & Schmid, C. (2020) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 615

TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals

Gao, J., Yang, Z., Sun, C., Chen, K., & Nevatia, R. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Human Pose and Action RecognitionVideo Analysis and Summarization

Cited by 498

Attention Bottlenecks for Multimodal Fusion

Nagrani, A., Yang, S., Arnab, A., Jansen, A., Schmid, C., & Sun, C. (2021) · arXiv

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 400

Multiview Transformers for Video Recognition

Yan, S., Xiong, X., Arnab, A., Lu, Z., Zhang, M., Sun, C., & Schmid, C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 312

Episodic Transformer for Vision-and-Language Navigation

Pashevich, A., Schmid, C., & Sun, C. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 135

VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation

Gan, C., Li, Y., Li, H., Sun, C., & Gong, B. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 116

Does Vision-and-Language Pretraining Improve Lexical Grounding?

Yun, T., Sun, C., & Pavlick, E. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 22

Speech2Action: Cross-Modal Supervision for Action Recognition

Nagrani, A., Sun, C., Ross, D., Sukthankar, R., Schmid, C., & Zisserman, A. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 12

EPO: Hierarchical LLM Agents with Environment Preference Optimization

Zhao, Q., Fu, H., Sun, C., & Konidaris, G. (2024) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 6

Solving New Tasks by Adapting Internet Video Knowledge

Luo, C., Zeng, Z., Du, Y., & Sun, C. (2025) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 0