activity
20232026
most citedKDPhys: An Attention Guided 3D to 2D Knowledge Distillation for Real-time Video-Based Physiological Measurement

5 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

ConvDeck: Conversational Paper-to-Slide Generation via Stage-Specific User Feedback

Tarik Can Ozden, Sachidanand VS, Furkan Horoz +4

Automatic academic paper-to-slide generation is inherently iterative, because creating an effective presentation requires repeated cycles of generation, critique, and revision. Rec…

cs.AI2026

Narrative-Driven Paper-to-Slide Generation via ArcDeck

Tarik Can Ozden, Sachidanand VS, Furkan Horoz +3

We introduce ArcDeck, a multi-agent framework that formulates paper-to-slide generation as a structured narrative reconstruction task. Unlike existing methods that directly summari…

eess.IV2026★ 5 cited

KDPhys: An Attention Guided 3D to 2D Knowledge Distillation for Real-time Video-Based Physiological Measurement

Nicky Nirlipta Sahoo, VS Sachidanand, Matcha Naga Gayathri +4

Camera-based physiological monitoring, such as remote photoplethysmography (rPPG), captures subtle variations in skin optical properties caused by pulsatile blood volume changes us…

cs.CV2025

Compass Control: Multi Object Orientation Control for Text-to-Image Generation

Rishubh Parihar, Vaibhav Agrawal, Sachidanand VS +1

Existing approaches for controlling text-to-image diffusion models, while powerful, do not allow for explicit 3D object-centric control, such as precise control of object orientati…

cs.CV2024

PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control

Rishubh Parihar, Sachidanand VS, Sabariswaran Mani +2

Recently, we have seen a surge of personalization methods for text-to-image (T2I) diffusion models to learn a concept using a few images. Existing approaches, when used for face pe…

cs.CV2024

Text2Place: Affordance-aware Text Guided Human Placement

Rishubh Parihar, Harsh Gupta, Sachidanand VS +1

For a given scene, humans can easily reason for the locations and pose to place objects. Designing a computational model to reason about these affordances poses a significant chall…

cs.CV2023

Robustness Analysis on Foundational Segmentation Models

Madeline Chantry Schiappa, Shehreen Azad, Sachidanand VS +4

Due to the increase in computational resources and accessibility of data, an increase in large, deep learning models trained on copious amounts of multi-modal data using self-super…