Mahesh Reddy

I am a Researcher at Qualcomm AI Research and working on 3D computer vision and generative AI. I completed my MSc in Computing Science from Simon Fraser University, where I was 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, where I was advised by Prof. Yang Wang. Before that, I received my BE in Information Science from VTU, India.
         

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
paper

Scale-Invariant Monocular Depth Estimation via SSI Depth

S. Mahdi H. Miangoleh, Mahesh Reddy, and Yağız Aksoy
SIGGRAPH, 2024
webpage // paper // video // code

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
paper // video

Datamoshing with Optical Flow

Chris Careaga, Mahesh Reddy, and Yağız Aksoy
SIGGRAPH Asia Posters, 2023
webpage // paper // code

Interactive Editing of Monocular Depth

Obumneme Stanley Dukor, S. Mahdi H. Miangoleh, Mahesh Reddy, Long Mai, and Yağız Aksoy
SIGGRAPH Posters, 2022
interactive editor // webpage // paper

AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting

Mahesh Reddy, Mrigank Rochan, Yiwei Lu and Yang Wang
IEEE Transactions on Multimedia (TMM), 2021
paper // code

Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation

Mrigank Rochan, Mahesh Reddy and Yang Wang
British Machine Vision Conference (BMVC), 2020
paper

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
paper // code

Few-Shot Scene-Adaptive Anomaly Detection

Yiwei Lu, Frank Yu, Mahesh Reddy and Yang Wang
European Conference on Computer Vision (ECCV), 2020 (Spotlight)
paper // code

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
paper // code // poster

Domain Adaptation in Crowd Counting

Mohammad Hossain, Mahesh Reddy, Kevin Cannons, Zhan Xu and Yang Wang
Conference on Robot and Computer Vision (CRV), 2020
paper

One-Shot Scene-Specific Crowd Counting

Mohammad Hossain, Mahesh Reddy, Mehrdad Hosseinzadeh, Omit Chanda and Yang Wang
British Machine Vision Conference (BMVC), 2019
paper

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
paper // code

Metric Monocular Reconstruction through Ordinal Depth

Mahesh Reddy
MSc Thesis, Simon Fraser University, 2022

Scene Adaptive Crowd Counting

Mahesh Reddy
MSc Thesis, University of Manitoba, 2020