Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining. - Rajeev Yasarla; Vishal M. Patel (CVPR, 2019)

Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method. - Vishwanath Sindagi; Rajeev Yasarla; Vishal M. Patel (ICCV, 2019)

Prior-based Domain Adaptive Object Detection for Adverse Weather Conditions. - Vishwanath A. Sindagi; Poojan Oza; Rajeev Yasarla; Vishal M. Patel (CoRR, 2019)

Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data. - V. Jeya Maria Jose; Rajeev Yasarla; Puyang Wang; Ilker Hacihaliloglu; Vishal M. Patel (CoRR, 2019)

Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes. - Rajeev Yasarla; Vishwanath A. Sindagi; Vishal M. Patel (CVPR, 2020)

Prior-Based Domain Adaptive Object Detection for Hazy and Rainy Conditions. - Vishwanath A. Sindagi; Poojan Oza; Rajeev Yasarla; Vishal M. Patel (ECCV (14), 2020)

Learning to Count in the Crowd from Limited Labeled Data. - Vishwanath A. Sindagi; Rajeev Yasarla; Deepak Babu Sam; R. Venkatesh Babu; Vishal M. Patel (ECCV (11), 2020)

Learning to Restore a Single Face Image Degraded by Atmospheric Turbulence using CNNs. - Rajeev Yasarla; Vishal M. Patel (CoRR, 2020)

Confidence-guided Lesion Mask-based Simultaneous Synthesis of Anatomic and Molecular MR Images in Patients with Post-treatment Malignant Gliomas. - Pengfei Guo; Puyang Wang; Rajeev Yasarla; Jinyuan Zhou; Vishal M. Patel; Shanshan Jiang 002 (CoRR, 2020)

Learning to Segment Brain Anatomy From 2D Ultrasound With Less Data. - Jeya Maria Jose Valanarasu; Rajeev Yasarla; Puyang Wang; Ilker Hacihaliloglu; Vishal M. Patel (IEEE J. Sel. Top. Signal Process., 2020)

Confidence Measure Guided Single Image De-Raining. - Rajeev Yasarla; Vishal M. Patel (IEEE Trans. Image Process., 2020)

Deblurring Face Images Using Uncertainty Guided Multi-Stream Semantic Networks. - Rajeev Yasarla; Federico Perazzi; Vishal M. Patel (IEEE Trans. Image Process., 2020)

Learning to Restore Images Degraded by Atmospheric Turbulence Using Uncertainty. - Rajeev Yasarla; Vishal M. Patel (ICIP, 2021)

Network Architecture Search for Face Enhancement. - Rajeev Yasarla; Hamid Reza Vaezi Joze; Vishal M. Patel (CoRR, 2021)

Exploring Overcomplete Representations for Single Image Deraining Using CNNs. - Rajeev Yasarla; Jeya Maria Jose Valanarasu; Vishal M. Patel (IEEE J. Sel. Top. Signal Process., 2021)

Semi-Supervised Image Deraining Using Gaussian Processes. - Rajeev Yasarla; Vishwanath A. Sindagi; Vishal M. Patel (IEEE Trans. Image Process., 2021)

Anatomic and Molecular MR Image Synthesis Using Confidence Guided CNNs. - Pengfei Guo; Puyang Wang; Rajeev Yasarla; Jinyuan Zhou; Vishal M. Patel; Shanshan Jiang 002 (IEEE Trans. Medical Imaging, 2021)

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

ART-SS: An Adaptive Rejection Technique for Semi-supervised Restoration for Adverse Weather-Affected Images. - Rajeev Yasarla; Carey E. Priebe; Vishal M. Patel (ECCV (18), 2022)

NBD-GAP: Non-Blind Image Deblurring without Clean Target Images. - Nithin Gopalakrishnan Nair; Rajeev Yasarla; Vishal M. Patel (ICIP, 2022)

Unsupervised Restoration of Weather-affected Images using Deep Gaussian Process-based CycleGAN. - Rajeev Yasarla; Vishwanath A. Sindagi; Vishal M. Patel (ICPR, 2022)

JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method. - Vishwanath A. Sindagi; Rajeev Yasarla; Vishal M. Patel (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

CNN-Based Restoration of a Single Face Image Degraded by Atmospheric Turbulence. - Rajeev Yasarla; Vishal M. Patel (IEEE Trans. Biom. Behav. Identity Sci., 2022)

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

FutureDepth: Learning to Predict the Future Improves Video Depth Estimation. - Rajeev Yasarla; Manish Kumar Singh 002; Hong Cai; Yunxiao Shi; Jisoo Jeong; Yinhao Zhu; Shizhong Han; Risheek Garrepalli; Fatih Porikli (ECCV (5), 2024)

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

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

HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation. - Antoine Mercier 005; Ramin Nakhli; Mahesh Reddy; Rajeev Yasarla; Hong Cai; Fatih Porikli; Guillaume Berger (CoRR, 2024)

ToSA: Token Selective Attention for Efficient Vision Transformers. - Manish Kumar Singh 002; Rajeev Yasarla; Hong Cai; Mingu Lee; Fatih Porikli (CoRR, 2024)

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 (CVPR, 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 (CVPR Workshops, 2025)

HexaGen3D: StableDiffusion is One Step Away from Fast and Diverse Text-to-3D Generation. - Antoine Mercier 005; Ramin Nakhli; Mahesh Reddy; Rajeev Yasarla; Hong Cai; Fatih Porikli; Guillaume Berger (WACV, 2025)

RoCA: Robust Cross-Domain End-to-End Autonomous Driving. - Rajeev Yasarla; Shizhong Han; Hsin-Pai Cheng; Litian Liu; Shweta Mahajan; Apratim Bhattacharyya; Yunxiao Shi; Risheek Garrepalli; Hong Cai; Fatih Porikli (CoRR, 2025)