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20182026
most citedGenerating Representative Samples for Few-Shot Classification

12 citations · 27 across the 11 of their papers we have counts for

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18 papers · 1 filter

cs.CV2026

Counting Trees from Satellite Imagery with Noisy Supervision

Dimitri Gominski, Maurice Mugabowindekwe, Qiue Xu +6

Counting individual trees is a fundamental task for environmental monitoring, yet remains largely unexplored with satellite imagery. At these resolutions, isolated trees may still…

cs.CV2025

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…

cs.CV2025

Embedding Physical Reasoning into Diffusion-Based Shadow Generation

Shilin Hu, Jingyi Xu, Akshat Dave +2

Generating realistic shadows for inserted objects requires reasoning about scene geometry and illumination. However, most existing methods operate purely in image space, leaving th…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…