b'Ziyuan Huang'

research

∙ 09/14/2023

Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning

Recently, large-scale pre-trained language-image models like CLIP have s...

0 Zhiwu Qing, et al. ∙

research

∙ 08/20/2023

Towards Real-World Visual Tracking with Temporal Contexts

Visual tracking has made significant improvements in the past few decade...

0 Ziang Cao, et al. ∙

research

∙ 08/10/2023

Temporally-Adaptive Models for Efficient Video Understanding

Spatial convolutions are extensively used in numerous deep video models....

0 Ziyuan Huang, et al. ∙

research

∙ 03/01/2023

Rethinking Efficient Tuning Methods from a Unified Perspective

Parameter-efficient transfer learning (PETL) based on large-scale pre-tr...

0 Zeyinzi Jiang, et al. ∙

research

∙ 11/28/2022

Progressive Learning without Forgetting

Learning from changing tasks and sequential experience without forgettin...

0 Tao Feng, et al. ∙

research

∙ 11/21/2022

PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework

Visual object tracking is an essential capability of intelligent robots....

8 Bowen Li, et al. ∙

research

∙ 09/05/2022

RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection

The task of Human-Object Interaction (HOI) detection targets fine-graine...

3 Hangjie Yuan, et al. ∙

research

∙ 07/24/2022

MAR: Masked Autoencoders for Efficient Action Recognition

Standard approaches for video recognition usually operate on the full in...

10 Zhiwu Qing, et al. ∙

research

∙ 03/03/2022

TCTrack: Temporal Contexts for Aerial Tracking

Temporal contexts among consecutive frames are far from being fully util...

24 Ziang Cao, et al. ∙

research

∙ 10/12/2021

TAda! Temporally-Adaptive Convolutions for Video Understanding

Spatial convolutions are widely used in numerous deep video models. It f...

0 Ziyuan Huang, et al. ∙

research

∙ 08/24/2021

Support-Set Based Cross-Supervision for Video Grounding

Current approaches for video grounding propose kinds of complex architec...

2 Xinpeng Ding, et al. ∙

research

∙ 08/24/2021

ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning

The central idea of contrastive learning is to discriminate between diff...

7 Zhiwu Qing, et al. ∙

research

∙ 06/24/2021

Exploring Stronger Feature for Temporal Action Localization

Temporal action localization aims to localize starting and ending time w...

0 Zhiwu Qing, et al. ∙

research

∙ 06/20/2021

Weakly-Supervised Temporal Action Localization Through Local-Global Background Modeling

Weakly-Supervised Temporal Action Localization (WS-TAL) task aims to rec...

0 Xiang Wang, et al. ∙

research

∙ 06/20/2021

Proposal Relation Network for Temporal Action Detection

This technical report presents our solution for temporal action detectio...

0 Xiang Wang, et al. ∙

research

∙ 06/15/2021

Relation Modeling in Spatio-Temporal Action Localization

This paper presents our solution to the AVA-Kinetics Crossover Challenge...

0 Yutong Feng, et al. ∙

research

∙ 06/13/2021

A Stronger Baseline for Ego-Centric Action Detection

This technical report analyzes an egocentric video action detection meth...

0 Zhiwu Qing, et al. ∙

research

∙ 06/09/2021

Towards Training Stronger Video Vision Transformers for EPIC-KITCHENS-100 Action Recognition

With the recent surge in the research of vision transformers, they have ...

0 Ziyuan Huang, et al. ∙

research

∙ 06/03/2021

Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation Operation for Semantic Segmentation

Exploiting multi-scale features has shown great potential in tackling se...

2 Yechao Bai, et al. ∙

research

∙ 05/04/2021

Aggregate Cyber-Risk Management in the IoT Age: Cautionary Statistics for (Re)Insurers and Likes

In this paper, we provide (i) a rigorous general theory to elicit condit...

0 Ranjan Pal, et al. ∙

research

∙ 10/16/2020

Towards Accurate Human Pose Estimation in Videos of Crowded Scenes

Video-based human pose estimation in crowded scenes is a challenging pro...

1 Li Yuan, et al. ∙

research

∙ 10/16/2020

Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes

Detecting and recognizing human action in videos with crowded scenes is ...

1 Li Yuan, et al. ∙

research

∙ 10/16/2020

A Simple Baseline for Pose Tracking in Videos of Crowded Scenes

This paper presents our solution to ACM MM challenge: Large-scale Human-...

1 Li Yuan, et al. ∙

research

∙ 04/12/2020

Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications

In recent years, self-supervised methods for monocular depth estimation ...

33 Feng Xue, et al. ∙

research

∙ 03/29/2020

AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal Regularization

Most existing trackers based on discriminative correlation filters (DCF)...

10 Yiming Li, et al. ∙

research

∙ 03/11/2020

Keyfilter-Aware Real-Time UAV Object Tracking

Correlation filter-based tracking has been widely applied in unmanned ae...

0 Yiming Li, et al. ∙

research

∙ 09/24/2019

Augmented Memory for Correlation Filters in Real-Time UAV Tracking

The outstanding computational efficiency of discriminative correlation f...

3 Yiming Li, et al. ∙

research

∙ 08/10/2019

Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus Verification

Due to implicitly introduced periodic shifting of limited searching area...

4 Changhong Fu, et al. ∙

research

∙ 08/06/2019

Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking

Traditional framework of discriminative correlation filters (DCF) is oft...

2 Ziyuan Huang, et al. ∙

Ziyuan Huang

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