Mahesh Reddy

Mahesh Reddy

Researcher · Qualcomm AI Research

I work on 3D computer vision and generative AI at Qualcomm AI Research. I completed my MSc in Computing Science from Simon Fraser University, advised by Prof. Yağız Aksoy. Previously, I was a research intern at Borealis AI and received my MSc in Computer Science from the University of Manitoba, advised by Prof. Yang Wang. Before that, I received my BE in Information Science from VTU, India.

Publications


HexaGen3D

HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation

Antoine Mercier, Ramin Nakhli, Mahesh Reddy, Rajeev Yasarla, Hong Cai, Fatih Porikli, and Guillaume Berger

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025

SI Depth

Scale-Invariant Monocular Depth Estimation via SSI Depth

S. Mahdi H. Miangoleh, Mahesh Reddy, and Yağız Aksoy

SIGGRAPH, 2024

EdgeRelight360

EdgeRelight360: Text-Conditioned 360-Degree HDR Image Generation for Real-Time On-Device Video Portrait Relighting

Min-Hui Lin*, Mahesh Reddy*, Guillaume Berger, Michel Sarkis, Fatih Porikli, and Ning Bi

CVPR Workshop on Efficient and On-Device Generation (EDGE), 2024

Datamoshing

Datamoshing with Optical Flow

Chris Careaga, Mahesh Reddy, and Yağız Aksoy

SIGGRAPH Asia Posters, 2023

Interactive Depth Editing

Interactive Editing of Monocular Depth

Obumneme Stanley Dukor, S. Mahdi H. Miangoleh, Mahesh Reddy, Long Mai, and Yağız Aksoy

SIGGRAPH Posters, 2022

AdaCrowd

AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting

Mahesh Reddy, Mrigank Rochan, Yiwei Lu and Yang Wang

IEEE Transactions on Multimedia (TMM), 2021

Temporal Modulation

Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation

Mrigank Rochan, Mahesh Reddy and Yang Wang

British Machine Vision Conference (BMVC), 2020

Adaptive Video Highlight Detection

Adaptive Video Highlight Detection by Learning from User History

Mrigank Rochan, Mahesh Reddy, Linwei Ye and Yang Wang

European Conference on Computer Vision (ECCV), 2020

Anomaly Detection

Few-Shot Scene-Adaptive Anomaly Detection

Yiwei Lu, Frank Yu, Mahesh Reddy and Yang Wang

European Conference on Computer Vision (ECCV), 2020 (Spotlight)

Meta-Learning Crowd Counting

Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning

Mahesh Reddy, Mohammad Hossain, Mrigank Rochan and Yang Wang

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2020

Domain Adaptation Crowd Counting

Domain Adaptation in Crowd Counting

Mohammad Hossain, Mahesh Reddy, Kevin Cannons, Zhan Xu and Yang Wang

Conference on Robot and Computer Vision (CRV), 2020

One-Shot Crowd Counting

One-Shot Scene-Specific Crowd Counting

Mohammad Hossain, Mahesh Reddy, Mehrdad Hosseinzadeh, Omit Chanda and Yang Wang

British Machine Vision Conference (BMVC), 2019

Future Frame Prediction

Future Frame Prediction Using Convolutional VRNN for Anomaly Detection

Yiwei Lu, Mahesh Reddy, Seyed shahabeddin Nabavi and Yang Wang

IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), 2019

Theses


Simon Fraser University

2022

Metric Monocular Reconstruction through Ordinal Depth

University of Manitoba

2020

Scene Adaptive Crowd Counting