31 citations · 173 across the 21 of their papers we have counts for
19 papers · 1 filter
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning
Yixuan Pei, Zhiwu Qing, Jun Cen +6
Recent incremental learning for action recognition usually stores representative videos to mitigate catastrophic forgetting. However, only a few bulky videos can be stored due to t…
RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection
Hangjie Yuan, Jianwen Jiang, Samuel Albanie +4
The task of Human-Object Interaction (HOI) detection targets fine-grained visual parsing of humans interacting with their environment, enabling a broad range of applications. Prior…
Open-world Semantic Segmentation for LIDAR Point Clouds
Jun Cen, Peng Yun, Shiwei Zhang +5
Current methods for LIDAR semantic segmentation are not robust enough for real-world applications, e.g., autonomous driving, since it is closed-set and static. The closed-set assum…
Hybrid Relation Guided Set Matching for Few-shot Action Recognition
Xiang Wang, Shiwei Zhang, Zhiwu Qing +5
Current few-shot action recognition methods reach impressive performance by learning discriminative features for each video via episodic training and designing various temporal ali…
Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency
Zhiwu Qing, Shiwei Zhang, Ziyuan Huang +6
Natural videos provide rich visual contents for self-supervised learning. Yet most existing approaches for learning spatio-temporal representations rely on manually trimmed videos,…
TAda! Temporally-Adaptive Convolutions for Video Understanding
Ziyuan Huang, Shiwei Zhang, Liang Pan +4
Spatial convolutions are widely used in numerous deep video models. It fundamentally assumes spatio-temporal invariance, i.e., using shared weights for every location in different…
Rethinking Supervised Pre-training for Better Downstream Transferring
Yutong Feng, Jianwen Jiang, Mingqian Tang +2
The pretrain-finetune paradigm has shown outstanding performance on many applications of deep learning, where a model is pre-trained on a upstream large dataset (e.g. ImageNet), an…
Support-Set Based Cross-Supervision for Video Grounding
Xinpeng Ding, Nannan Wang, Shiwei Zhang +5
Current approaches for video grounding propose kinds of complex architectures to capture the video-text relations, and have achieved impressive improvements. However, it is hard to…
ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning
Zhiwu Qing, Ziyuan Huang, Shiwei Zhang +5
The central idea of contrastive learning is to discriminate between different instances and force different views from the same instance to share the same representation. To avoid…
HANet: Hierarchical Alignment Networks for Video-Text Retrieval
Peng Wu, Xiangteng He, Mingqian Tang +2
Video-text retrieval is an important yet challenging task in vision-language understanding, which aims to learn a joint embedding space where related video and text instances are c…
Exploring Stronger Feature for Temporal Action Localization
Zhiwu Qing, Xiang Wang, Ziyuan Huang +6
Temporal action localization aims to localize starting and ending time with action category. Limited by GPU memory, mainstream methods pre-extract features for each video. Therefor…
Proposal Relation Network for Temporal Action Detection
Xiang Wang, Zhiwu Qing, Ziyuan Huang +6
This technical report presents our solution for temporal action detection task in AcitivityNet Challenge 2021. The purpose of this task is to locate and identify actions of interes…
Weakly-Supervised Temporal Action Localization Through Local-Global Background Modeling
Xiang Wang, Zhiwu Qing, Ziyuan Huang +6
Weakly-Supervised Temporal Action Localization (WS-TAL) task aims to recognize and localize temporal starts and ends of action instances in an untrimmed video with only video-level…
Relation Modeling in Spatio-Temporal Action Localization
Yutong Feng, Jianwen Jiang, Ziyuan Huang +5
This paper presents our solution to the AVA-Kinetics Crossover Challenge of ActivityNet workshop at CVPR 2021. Our solution utilizes multiple types of relation modeling methods for…
A Stronger Baseline for Ego-Centric Action Detection
Zhiwu Qing, Ziyuan Huang, Xiang Wang +7
This technical report analyzes an egocentric video action detection method we used in the 2021 EPIC-KITCHENS-100 competition hosted in CVPR2021 Workshop. The goal of our task is to…
Towards Training Stronger Video Vision Transformers for EPIC-KITCHENS-100 Action Recognition
Ziyuan Huang, Zhiwu Qing, Xiang Wang +7
With the recent surge in the research of vision transformers, they have demonstrated remarkable potential for various challenging computer vision applications, such as image recogn…
Self-supervised Video Retrieval Transformer Network
Xiangteng He, Yulin Pan, Mingqian Tang +1
Content-based video retrieval aims to find videos from a large video database that are similar to or even near-duplicate of a given query video. Video representation and similarity…
Self-supervised Motion Learning from Static Images
Ziyuan Huang, Shiwei Zhang, Jianwen Jiang +3
Motions are reflected in videos as the movement of pixels, and actions are essentially patterns of inconsistent motions between the foreground and the background. To well distingui…
Vision-based Price Suggestion for Online Second-hand Items
Liang Han, Zhaozheng Yin, Zhurong Xia +3
Different from shopping in physical stores, where people have the opportunity to closely check a product (e.g., touching the surface of a T-shirt or smelling the scent of perfume)…