Search Results for author: Ximeng Sun

Found 11 papers, 6 papers with code

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

no code implementations20 Jun 2022 Ximeng Sun, Ping Hu, Kate Saenko

Solving multi-label recognition (MLR) for images in the low-label regime is a challenging task with many real-world applications.

Dynamic Network Quantization for Efficient Video Inference

1 code implementation ICCV 2021 Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogerio Feris, Kate Saenko

Deep convolutional networks have recently achieved great success in video recognition, yet their practical realization remains a challenge due to the large amount of computational resources required to achieve robust recognition.

Quantization Video Recognition

AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition

1 code implementation ICCV 2021 Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogerio Feris

Specifically, given a video segment, a multi-modal policy network is used to decide what modalities should be used for processing by the recognition model, with the goal of improving both accuracy and efficiency.

Video Recognition

Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths

no code implementations2 Mar 2021 Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogerio Feris, Kate Saenko

Second, to effectively transfer knowledge, we develop a dynamic block swapping method by randomly replacing the blocks in the lower-precision student network with the corresponding blocks in the higher-precision teacher network.

Image Classification Quantization +2

Revisiting Few-shot Activity Detection with Class Similarity Control

no code implementations31 Mar 2020 Huijuan Xu, Ximeng Sun, Eric Tzeng, Abir Das, Kate Saenko, Trevor Darrell

In this paper, we present a conceptually simple and general yet novel framework for few-shot temporal activity detection based on proposal regression which detects the start and end time of the activities in untrimmed videos.

Action Detection Activity Detection +1

Domain Agnostic Learning with Disentangled Representations

1 code implementation28 Apr 2019 Xingchao Peng, Zijun Huang, Ximeng Sun, Kate Saenko

Unsupervised model transfer has the potential to greatly improve the generalizability of deep models to novel domains.

General Classification Image Classification +1

Similarity R-C3D for Few-shot Temporal Activity Detection

no code implementations25 Dec 2018 Huijuan Xu, Bingyi Kang, Ximeng Sun, Jiashi Feng, Kate Saenko, Trevor Darrell

In this paper, we present a conceptually simple and general yet novel framework for few-shot temporal activity detection which detects the start and end time of the few-shot input activities in an untrimmed video.

Action Detection Activity Detection

TwoStreamVAN: Improving Motion Modeling in Video Generation

1 code implementation3 Dec 2018 Ximeng Sun, Huijuan Xu, Kate Saenko

Video generation is an inherently challenging task, as it requires modeling realistic temporal dynamics as well as spatial content.

Video Generation

A Temporally-Aware Interpolation Network for Video Frame Inpainting

1 code implementation20 Mar 2018 Ximeng Sun, Ryan Szeto, Jason J. Corso

We propose the first deep learning solution to video frame inpainting, a challenging instance of the general video inpainting problem with applications in video editing, manipulation, and forensics.

Video Inpainting Video Prediction

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