activity
20202026
most citedPIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation

33 citations · 58 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Recognizing Co-Speech Gestures in-the-Wild

Sindhu B Hegde, K R Prajwal, Andrew Zisserman

While humans naturally gesture during speech, only a sparse subset of these co-speech gestures are visually depictive and semantically linked to specific spoken words. In this pape…

cs.CV2025

Understanding Co-speech Gestures in-the-wild

Sindhu B Hegde, K R Prajwal, Taein Kwon +1

Co-speech gestures play a vital role in non-verbal communication. In this paper, we introduce a new framework for co-speech gesture understanding in the wild. Specifically, we prop…

cs.MM2024★ 9 cited

Towards Accurate Lip-to-Speech Synthesis in-the-Wild

Sindhu Hegde, Rudrabha Mukhopadhyay, C. V. Jawahar +1

In this paper, we introduce a novel approach to address the task of synthesizing speech from silent videos of any in-the-wild speaker solely based on lip movements. The traditional…

cs.CV2023

GestSync: Determining who is speaking without a talking head

Sindhu B Hegde, Andrew Zisserman

In this paper we introduce a new synchronisation task, Gesture-Sync: determining if a person's gestures are correlated with their speech or not. In comparison to Lip-Sync, Gesture-…

cs.CV2022★ 14 cited

Lip-to-Speech Synthesis for Arbitrary Speakers in the Wild

Sindhu B Hegde, K R Prajwal, Rudrabha Mukhopadhyay +2

In this work, we address the problem of generating speech from silent lip videos for any speaker in the wild. In stark contrast to previous works, our method (i) is not restricted…

cs.CV2022★ 1 cited

Extreme-scale Talking-Face Video Upsampling with Audio-Visual Priors

Sindhu B Hegde, Rudrabha Mukhopadhyay, Vinay P Namboodiri +1

In this paper, we explore an interesting question of what can be obtained from an pixel video sequence. Surprisingly, it turns out to be quite a lot. We show that when w…

cs.CV2021

Towards Automatic Speech to Sign Language Generation

Parul Kapoor, Rudrabha Mukhopadhyay, Sindhu B Hegde +2

We aim to solve the highly challenging task of generating continuous sign language videos solely from speech segments for the first time. Recent efforts in this space have focused…

cs.CV2021★ 33 cited

PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation

Sindhu Hegde, Shankar Gangisetty

Point clouds, being the simple and compact representation of surface geometry of 3D objects, have gained increasing popularity with the evolution of deep learning networks for clas…

cs.CV2020★ 1 cited

Visual Speech Enhancement Without A Real Visual Stream

Sindhu B Hegde, K R Prajwal, Rudrabha Mukhopadhyay +2

In this work, we re-think the task of speech enhancement in unconstrained real-world environments. Current state-of-the-art methods use only the audio stream and are limited in the…