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20212026
most citedSemi-Supervised Classification and Segmentation on High Resolution Aerial Images

6 citations · 8 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2026

DeVA: Decoupled Video-Action Model with physical guidance for robot policy learning

Mengqi Zhang, Sahil Khose, Simar Kareer +3

Generalizable robot manipulation requires policies that can anticipate how visual scenes evolve while executing language instructions. While recent Vision-Language-Action models be…

cs.CV2023

SkyScenes: A Synthetic Dataset for Aerial Scene Understanding

Sahil Khose, Anisha Pal, Aayushi Agarwal +3

Real-world aerial scene understanding is limited by a lack of datasets that contain densely annotated images curated under a diverse set of conditions. Due to inherent challenges i…

cs.CV2023

LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration

Ran Liu, Sahil Khose, Jingyun Xiao +4

Despite significant advances in deep learning, models often struggle to generalize well to new, unseen domains, especially when training data is limited. To address this challenge,…

cs.CV2022

Continual VQA for Disaster Response Systems

Aditya Kane, V Manushree, Sahil Khose

Visual Question Answering (VQA) is a multi-modal task that involves answering questions from an input image, semantically understanding the contents of the image and answering it i…

cs.CV2022

An Efficient Modern Baseline for FloodNet VQA

Aditya Kane, Sahil Khose

Designing efficient and reliable VQA systems remains a challenging problem, more so in the case of disaster management and response systems. In this work, we revisit fundamental co…

cs.CL2022★ 1 cited

Transformer based ensemble for emotion detection

Aditya Kane, Shantanu Patankar, Sahil Khose +1

Detecting emotions in languages is important to accomplish a complete interaction between humans and machines. This paper describes our contribution to the WASSA 2022 shared task w…

cs.CV2021

A Studious Approach to Semi-Supervised Learning

Sahil Khose, Shruti Jain, V Manushree

The problem of learning from few labeled examples while using large amounts of unlabeled data has been approached by various semi-supervised methods. Although these methods can ach…

cs.CV2021★ 1 cited

XCI-Sketch: Extraction of Color Information from Images for Generation of Colored Outlines and Sketches

V Manushree, Sameer Saxena, Parna Chowdhury +4

Sketches are a medium to convey a visual scene from an individual's creative perspective. The addition of color substantially enhances the overall expressivity of a sketch. This pa…

cs.CV2021★ 6 cited

Semi-Supervised Classification and Segmentation on High Resolution Aerial Images

Sahil Khose, Abhiraj Tiwari, Ankita Ghosh

FloodNet is a high-resolution image dataset acquired by a small UAV platform, DJI Mavic Pro quadcopters, after Hurricane Harvey. The dataset presents a unique challenge of advancin…

cs.CL2021

BERT based Transformers lead the way in Extraction of Health Information from Social Media

Sidharth R, Abhiraj Tiwari, Parthivi Choubey +5

This paper describes our submissions for the Social Media Mining for Health (SMM4H)2021 shared tasks. We participated in 2 tasks:(1) Classification, extraction and normalization of…