Ximeng Sun

According to our database, Ximeng Sun authored at least 22 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition With Limited Annotations.

Ping Hu, Ximeng Sun, Stan Sclaroff, Kate Saenko

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths.

Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogério Feris, Kate Saenko

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

CLAMP: Contrastive LAnguage Model Prompt-tuning.

Piotr Teterwak, Ximeng Sun, Bryan A. Plummer, Kate Saenko, Ser-Nam Lim

CoRR, 2023

Label Budget Allocation in Multi-Task Learning.

Ximeng Sun, Kihyuk Sohn, Kate Saenko, Clayton Mellina, Xiao Bian

CoRR, 2023

DIME-FM : DIstilling Multimodal and Efficient Foundation Models.

Ximeng Sun, Pengchuan Zhang, Peizhao Zhang, Hardik Shah, Kate Saenko, Xide Xia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations.

Ximeng Sun, Ping Hu, Kate Saenko

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

All at Once Network Quantization via Collaborative Knowledge Transfer.

Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko

CoRR, 2021

Dynamic Network Quantization for Efficient Video Inference.

Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition.

Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

A Temporally-Aware Interpolation Network for Video Frame Inpainting.

Ryan Szeto, Ximeng Sun, Kunyi Lu, Jason J. Corso

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Revisiting Few-shot Activity Detection with Class Similarity Control.

Huijuan Xu, Ximeng Sun, Eric Tzeng, Abir Das, Kate Saenko, Trevor Darrell

CoRR, 2020

TwoStreamVAN: Improving Motion Modeling in Video Generation.

Ximeng Sun, Huijuan Xu, Kate Saenko

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning.

Ximeng Sun, Rameswar Panda, Rogério Feris, Kate Saenko

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning.

Ximeng Sun, Rameswar Panda, Rogério Schmidt Feris

CoRR, 2019

Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition.

Ping Hu, Ximeng Sun, Kate Saenko, Stan Sclaroff

CoRR, 2019

Domain Agnostic Learning with Disentangled Representations.

Xingchao Peng, Zijun Huang, Ximeng Sun, Kate Saenko

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Similarity R-C3D for Few-shot Temporal Activity Detection.

Huijuan Xu, Bingyi Kang, Ximeng Sun, Jiashi Feng, Kate Saenko, Trevor Darrell

CoRR, 2018

A Two-Stream Variational Adversarial Network for Video Generation.

Ximeng Sun, Huijuan Xu, Kate Saenko

CoRR, 2018

A Temporally-Aware Interpolation Network for Video Frame Inpainting.

Ximeng Sun, Ryan Szeto, Jason J. Corso

Proceedings of the Computer Vision - ACCV 2018, 2018

2008

Model-driven assessment of system dependability.

Sadaf Mustafiz, Ximeng Sun, Jörg Kienzle, Hans Vangheluwe

Softw. Syst. Model., 2008

2007

Domain-Specific Modelling With Atom3.

Hans Vangheluwe, Ximeng Sun, Eric Bodden

Proceedings of the ICSOFT 2007, 2007

2006

Model-Driven Assessment of Use Cases for Dependable Systems.

Sadaf Mustafiz, Ximeng Sun, Jörg Kienzle, Hans Vangheluwe

Proceedings of the Model Driven Engineering Languages and Systems, 2006