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20222026
most citedA Mamba-based Siamese Network for Remote Sensing Change Detection

3 citations · 3 across the 8 of their papers we have counts for

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cs.CV2026

DynaTokens: Controlling Token Dynamics for Continual Video-Language Understanding

Toan Nguyen, Yang Liu, Celso De Melo +1

Continual VideoQA with multimodal LLMs remains challenging because sequential adaptation induces task interference, while storing task-specific prompts becomes impractical as task…

cs.CV2024

Texture- and Shape-based Adversarial Attacks for Overhead Image Vehicle Detection

Mikael Yeghiazaryan, Sai Abhishek Siddhartha Namburu, Emily Kim +4

Detecting vehicles in aerial images is difficult due to complex backgrounds, small object sizes, shadows, and occlusions. Although recent deep learning advancements have improved o…

cs.CV2024★ 3 cited

A Mamba-based Siamese Network for Remote Sensing Change Detection

Jay N. Paranjape, Celso de Melo, Vishal M. Patel

Change detection in remote sensing images is an essential tool for analyzing a region at different times. It finds varied applications in monitoring environmental changes, man-made…

cs.CV2024

WeatherProof: Leveraging Language Guidance for Semantic Segmentation in Adverse Weather

Blake Gella, Howard Zhang, Rishi Upadhyay +7

We propose a method to infer semantic segmentation maps from images captured under adverse weather conditions. We begin by examining existing models on images degraded by weather c…

cs.CV2023

Entropic Open-set Active Learning

Bardia Safaei, Vibashan VS, Celso M. de Melo +1

Active Learning (AL) aims to enhance the performance of deep models by selecting the most informative samples for annotation from a pool of unlabeled data. Despite impressive perfo…

cs.CV2023

Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training

Arun Reddy, William Paul, Corban Rivera +3

In this work, we tackle the problem of unsupervised domain adaptation (UDA) for video action recognition. Our approach, which we call UNITE, uses an image teacher model to adapt a…