Search Results for author:
Found 7 papers, 5 papers with code
LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
The average video length of LaSOT is around 2, 500 frames, where each video contains various challenge factors that exist in real world video footage, such as the targets disappearing and re-appearing.
Variational Feature Disentangling for Fine-Grained Few-Shot Classification
We assume that the distribution of intra-class variance generalizes across the base class and the novel class.
Ranked #14 on
Few-Shot Image Classification
on CUB 200 5-way 5-shot
Whose Hands Are These? Hand Detection and Hand-Body Association in the Wild
We also introduce a new challenging dataset called BodyHands containing unconstrained images with hand and their corresponding body locations annotations.
Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild
The first stage is Forward Propagation, where the features from frame t-1 are propagated to frame t based on previously detected hands and their estimated motion.
Ranked #1 on
Multiple Object Tracking
on YouTube-Hands
(using extra training data)
Tracking Multiple Deformable Objects in Egocentric Videos
DETracker outperforms existing state-of-the-art method on the DogThruGlasses dataset and YouTube-Hand dataset.
AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics
To achieve this, we propose a new approach that leverages the DALL-E2 language-image model to automatically generate and splice masked regions guided by a text prompt.
Language-guided Human Motion Synthesis with Atomic Actions
In this paper, we propose ATOM (ATomic mOtion Modeling) to mitigate this problem, by decomposing actions into atomic actions, and employing a curriculum learning strategy to learn atomic action composition.
