Yasarla, Rajeev

11 publications

CVPR 2025 Distilling Multi-Modal Large Language Models for Autonomous Driving Deepti Hegde, Rajeev Yasarla, Hong Cai, Shizhong Han, Apratim Bhattacharyya, Shweta Mahajan, Litian Liu, Risheek Garrepalli, Vishal M. Patel, Fatih Porikli

CVPRW 2025 DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos Rajeev Yasarla, Shizhong Han, Hong Cai, Fatih Porikli

WACV 2025 HexaGen3D: StableDiffusion Is One Step Away from Fast and Diverse Text-to-3D Generation Antoine Mercier, Ramin Nakhli, Mahesh Reddy, Rajeev Yasarla, Hong Cai, Fatih Porikli, Guillaume Berger

WACV 2024 3SD: Self-Supervised Saliency Detection with No Labels Rajeev Yasarla, Renliang Weng, Wongun Choi, Vishal M. Patel, Amir Sadeghian

ECCV 2024 FutureDepth: Learning to Predict the Future Improves Video Depth Estimation Rajeev Yasarla, Manish Kumar Singh, Hong Cai, Yunxiao Shi, Jisoo Jeong, Yinhao Zhu, Shizhong Han, Risheek Garrepalli, Fatih Porikli

WACV 2024 Self-Supervised Denoising Transformer with Gaussian Process Rajeev Yasarla, Jeya Maria Jose Valanarasu, Vishwanath Sindagi, Vishal M. Patel

ICCV 2023 MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation Rajeev Yasarla, Hong Cai, Jisoo Jeong, Yunxiao Shi, Risheek Garrepalli, Fatih Porikli

ECCV 2022 ART-SS: An Adaptive Rejection Technique for Semi-Supervised Restoration for Adverse Weather-Affected Images Rajeev Yasarla, Carey E. Priebe, Vishal M. Patel

CVPR 2022 TransWeather: Transformer-Based Restoration of Images Degraded by Adverse Weather Conditions Jeya Maria Jose Valanarasu, Rajeev Yasarla, Vishal M. Patel

ECCV 2020 Learning to Count in the Crowd from Limited Labeled Data Vishwanath A. Sindagi, Rajeev Yasarla, Deepak Sam Babu, R. Venkatesh Babu, Vishal M. Patel

ECCV 2020 Prior-Based Domain Adaptive Object Detection for Hazy and Rainy Conditions Vishwanath A. Sindagi, Poojan Oza, Rajeev Yasarla, Vishal M. Patel