6 citations · 6 across the 4 of their papers we have counts for
5 papers
GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing
Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo +1
Human perception for effective object tracking in 2D video streams arises from the implicit use of prior 3D knowledge and semantic reasoning. In contrast, most generic object track…
GOT-JEPA: Generic Object Tracking with Model Adaptation and Occlusion Handling using Joint-Embedding Predictive Architecture
Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo +1
The human visual system tracks objects by integrating current observations with previously observed information, adapting to target and scene changes, and reasoning about occlusion…
Make Graph-based Referring Expression Comprehension Great Again through Expression-guided Dynamic Gating and Regression
Jingcheng Ke, Dele Wang, Jun-Cheng Chen +3
One common belief is that with complex models and pre-training on large-scale datasets, transformer-based methods for referring expression comprehension (REC) perform much better t…
Improving Visual Object Tracking through Visual Prompting
Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo +1
Learning a discriminative model that distinguishes the specified target from surrounding distractors across frames is essential for generic object tracking (GOT). Dynamic adaptatio…
Set-to-Set Hashing with Applications in Visual Recognition
I-Hong Jhuo, Jun Wang
Visual data, such as an image or a sequence of video frames, is often naturally represented as a point set. In this paper, we consider the fundamental problem of finding a nearest…