activity
20152023
most citedOn Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization

119 citations · 210 across the 25 of their papers we have counts for

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38 papers · 1 filter

cs.CV2023★ 1 cited

ClipSitu: Effectively Leveraging CLIP for Conditional Predictions in Situation Recognition

Debaditya Roy, Dhruv Verma, Basura Fernando

Situation Recognition is the task of generating a structured summary of what is happening in an image using an activity verb and the semantic roles played by actors and objects. In…

cs.CV2023

Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion

Ishaan Singh Rawal, Alexander Matyasko, Shantanu Jaiswal +2

While VideoQA Transformer models demonstrate competitive performance on standard benchmarks, the reasons behind their success are not fully understood. Do these models capture the…

cs.CV2023

Modelling Spatio-Temporal Interactions For Compositional Action Recognition

Ramanathan Rajendiran, Debaditya Roy, Basura Fernando

Humans have the natural ability to recognize actions even if the objects involved in the action or the background are changed. Humans can abstract away the action from the appearan…

cs.CV2023★ 2 cited

RCA: Region Conditioned Adaptation for Visual Abductive Reasoning

Hao Zhang, Yeo Keat Ee, Basura Fernando

Visual abductive reasoning aims to make likely explanations for visual observations. We propose a simple yet effective Region Conditioned Adaptation, a hybrid parameter-efficient f…

cs.CV2022★ 1 cited

Who are you referring to? Coreference resolution in image narrations

Arushi Goel, Basura Fernando, Frank Keller +1

Coreference resolution aims to identify words and phrases which refer to same entity in a text, a core task in natural language processing. In this paper, we extend this task to re…

cs.CV2022

Interaction Region Visual Transformer for Egocentric Action Anticipation

Debaditya Roy, Ramanathan Rajendiran, Basura Fernando

Human-object interaction is one of the most important visual cues and we propose a novel way to represent human-object interactions for egocentric action anticipation. We propose a…