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Personalized Image Descriptions from Attention Sequences
Ruoyu Xue, Hieu Le, Jingyi Xu +5
People can view the same image differently: they focus on different regions, objects, and details in varying orders and describe them in distinct linguistic styles. This leads to s…
Cast and Attached Shadow Detection via Iterative Light and Geometry Reasoning
Shilin Hu, Jingyi Xu, Sagnik Das +2
Shadows encode rich information about scene geometry and illumination, yet existing methods either predict a unified shadow mask or overlook attached shadows entirely. We address t…
Embedding Physical Reasoning into Diffusion-Based Shadow Generation Under the Sun and Sky
Shilin Hu, Jingyi Xu, Akshat Dave +2
Generating realistic cast shadows for inserted foreground objects requires reasoning about scene geometry and illumination. However, most learning-based approaches treat shadow gen…
CORA: Consistency-Guided Semi-Supervised Framework for Reasoning Segmentation
Prantik Howlader, Hoang Nguyen-Canh, Srijan Das +3
Reasoning segmentation seeks pixel-accurate masks for targets referenced by complex, often implicit instructions, requiring context-dependent reasoning over the scene. Recent multi…
Talking Head Generation via AU-Guided Landmark Prediction
Shao-Yu Chang, Jingyi Xu, Hieu Le +1
We propose a two-stage framework for audio-driven talking head generation with fine-grained expression control via facial Action Units (AUs). Unlike prior methods relying on emotio…
What is the Right Embedding Space for Contrastive Learning in Referring Expression Counting?
Kostas Triaridis, Panagiotis Kaliosis, E-Ro Nguyen +3
Referring Expression Counting (REC) requires distinguishing visually similar objects described by fine-grained text cues. Existing methods tackle this via image-text contrastive le…
Few-shot Personalized Scanpath Prediction
Ruoyu Xue, Jingyi Xu, Sounak Mondal +4
A personalized model for scanpath prediction provides insights into the visual preferences and attention patterns of individual subjects. However, existing methods for training sca…