End-to-End Active Speaker Detection
Recent advances in the Active Speaker Detection (ASD) problem build upon a two-stage process -- feature extraction and spatio-temporal context aggregation. In this paper, we …
Juan leon alcazar
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When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search
The key challenge in neural architecture search (NAS) is designing how to explore wisely in the huge search space. We propose a new NAS method called TNAS (NAS with trees), which …
Guocheng qian
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions
The recent and increasing interest in video-language research has driven the development of large-scale datasets that enable data-intensive machine learning techniques. In …
Mattia soldan
Ego4D: Around the World in 3,000 Hours of Egocentric Video
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (house-hold, …
SegTAD: Precise Temporal Action Detection via Semantic Segmentation
Temporal action detection (TAD) is an important yet challenging task in video analysis. Most existing works draw inspiration from image object detection and tend to reformulate it …
Video Self‑Stitching Graph Network for Temporal Action Localization
Short actions are critical and challenging in the task of action localization. We target this problem and propose a video self-stitching graph network (VSGN), which enhances …
ThumbNet: One Thumbnail Image Contains All You Need for Recognition
Tackle the problem of network compression and acceleration in a novel perspective: enabling inference on thumbnail images without compromising accuracy. Propose supervised image …
G‑TAD: Sub‑Graph Localization for Temporal Action Detection
Temporal action detection is a fundamental yet challenging task in video understanding. Video context is a critical cue to effectively detect actions, but current works mainly …
Mengmeng xu
BoostNet: A Structured Deep Recursive Network to Boost Image Deblocking
Better and Faster, when ADMM Meets CNN: Compressive-sensed Image Reconstruction