Search Results for author: Le Yang

Found 18 papers, 10 papers with code

Structured Attention Composition for Temporal Action Localization

2 code implementations20 May 2022 Le Yang, Junwei Han, Tao Zhao, Nian Liu, Dingwen Zhang

To tackle this issue, we make an early effort to study temporal action localization from the perspective of multi-modality feature learning, based on the observation that different actions exhibit specific preferences to appearance or motion modality.

Action Detection Temporal Action Localization

Colar: Effective and Efficient Online Action Detection by Consulting Exemplars

1 code implementation CVPR 2022 Le Yang, Junwei Han, Dingwen Zhang

Based on the exemplar-consultation mechanism, the long-term dependencies can be captured by regarding historical frames as exemplars, while the category-level modeling can be achieved by regarding representative frames from a category as exemplars.

Online Action Detection

Background-Click Supervision for Temporal Action Localization

1 code implementation24 Nov 2021 Le Yang, Junwei Han, Tao Zhao, Tianwei Lin, Dingwen Zhang, Jianxin Chen

Weakly supervised temporal action localization aims at learning the instance-level action pattern from the video-level labels, where a significant challenge is action-context confusion.

Weakly-supervised Temporal Action Localization Weakly Supervised Temporal Action Localization

Enhanced Medium Range Order in Vapor Deposited Germania Glasses at Elevated Temperatures

no code implementations17 Feb 2021 Le Yang, Gabriele Vajente, Mariana Fazio, Alena Ananyeva, GariLynn Billingsley, Ashot Markosyan, Riccardo Bassiri, Kiran Prasai, Martin M. Fejer, Carmen S. Menoni

Herein, we show the atomic arrangement of strong network forming GeO2 glass is modified at medium range (< 2 nm) through vapor deposition at elevated temperatures.

Materials Science

Dynamic Neural Networks: A Survey

no code implementations9 Feb 2021 Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang, Yulin Wang

Dynamic neural network is an emerging research topic in deep learning.

Decision Making

Revisiting Locally Supervised Learning: an Alternative to End-to-end Training

1 code implementation26 Jan 2021 Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang

Due to the need to store the intermediate activations for back-propagation, end-to-end (E2E) training of deep networks usually suffers from high GPUs memory footprint.

Revisiting Locally Supervised Training of Deep Neural Networks

no code implementations ICLR 2021 Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang

As InfoPro loss is difficult to compute in its original form, we derive a feasible upper bound as a surrogate optimization objective, yielding a simple but effective algorithm.

Structural evolution of binary oxide nanolaminates with annealing and its impact on room-temperature internal friction

no code implementations8 Oct 2020 Le Yang, Mariana Fazio, Gabriele Vajente, Alena Ananyeva, GariLynn Billingsley, Ashot Markosyan, Riccardo Bassiri, Martin M. Fejer, Carmen S. Menoni

Internal friction in oxide thin films imposes a critical limitation to the sensitivity and stability of ultra-high finesse optical cavities for gravitational wave detectors.

Materials Science

Revisiting Anchor Mechanisms for Temporal Action Localization

1 code implementation22 Aug 2020 Le Yang, Houwen Peng, Dingwen Zhang, Jianlong Fu, Junwei Han

To address this problem, this paper proposes a novel anchor-free action localization module that assists action localization by temporal points.

Temporal Action Localization

Equivalent Classification Mapping for Weakly Supervised Temporal Action Localization

no code implementations18 Aug 2020 Tao Zhao, Junwei Han, Le Yang, Dingwen Zhang

The existing methods can be categorized into two localization-by-classification pipelines, i. e., the pre-classification pipeline and the post-classification pipeline.

Classification General Classification +2

Resolution Adaptive Networks for Efficient Inference

1 code implementation CVPR 2020 Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang

Adaptive inference is an effective mechanism to achieve a dynamic tradeoff between accuracy and computational cost in deep networks.

Learning Sparse 2D Temporal Adjacent Networks for Temporal Action Localization

2 code implementations8 Dec 2019 Songyang Zhang, Houwen Peng, Le Yang, Jianlong Fu, Jiebo Luo

In this report, we introduce the Winner method for HACS Temporal Action Localization Challenge 2019.

Temporal Action Localization

Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning

no code implementations9 Jul 2018 Danil Kuzin, Le Yang, Olga Isupova, Lyudmila Mihaylova

The ensemble Kalman filter reduces the computational complexity required to obtain predictions with Gaussian processes preserving the accuracy level of these predictions.

Gaussian Processes

Reinforcement Cutting-Agent Learning for Video Object Segmentation

no code implementations CVPR 2018 Junwei Han, Le Yang, Dingwen Zhang, Xiaojun Chang, Xiaodan Liang

In this paper, we formulate this problem as a Markov Decision Process, where agents are learned to segment object regions under a deep reinforcement learning framework.

Decision Making Semantic Segmentation +3

SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos

no code implementations CVPR 2017 Dingwen Zhang, Le Yang, Deyu Meng, Dong Xu, Junwei Han

Object segmentation in weakly labelled videos is an interesting yet challenging task, which aims at learning to perform category-specific video object segmentation by only using video-level tags.

Semantic Segmentation Video Object Segmentation +1

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