12 citations · 17 across the 6 of their papers we have counts for
6 papers
SpanVLA: Learning from Negative-Recovery Samples with Fast Action Bridging for Vision-Language-Action Model
Zewei Zhou, Ruining Yang, Xuewei Qi +9
Vision-Language-Action (VLA) models bring rich world knowledge and reasoning capabilities to autonomous driving. However, most driving VLAs are trained only on positive expert demo…
Instruct-CLIP: Improving Instruction-Guided Image Editing with Automated Data Refinement Using Contrastive Learning
Sherry X. Chen, Misha Sra, Pradeep Sen
Although natural language instructions offer an intuitive way to guide automated image editing, deep-learning models often struggle to achieve high-quality results, largely due to…
SiCo: An Interactive Size-Controllable Virtual Try-On Approach for Informed Decision-Making
Sherry X. Chen, Alex Christopher Lim, Yimeng Liu +2
Virtual try-on (VTO) applications aim to replicate the in-store shopping experience and enhance online shopping by enabling users to interact with garments. However, many existing…
AID-AppEAL: Automatic Image Dataset and Algorithm for Content Appeal Enhancement and Assessment Labeling
Sherry X. Chen, Yaron Vaxman, Elad Ben Baruch +4
We propose Image Content Appeal Assessment (ICAA), a novel metric that quantifies the level of positive interest an image's content generates for viewers, such as the appeal of foo…
TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing
Sherry X. Chen, Yaron Vaxman, Elad Ben Baruch +5
Despite many attempts to leverage pre-trained text-to-image models (T2I) like Stable Diffusion (SD) for controllable image editing, producing good predictable results remains a cha…
PatchTrack: Multiple Object Tracking Using Frame Patches
Xiaotong Chen, Seyed Mehdi Iranmanesh, Kuo-Chin Lien
Object motion and object appearance are commonly used information in multiple object tracking (MOT) applications, either for associating detections across frames in tracking-by-det…