A Bayesian Neural Net to Segment Images with Uncertainty Estimates and Good Calibration. - Rohit Jena; Suyash P. Awate (IPMI, 2019)

Out of the Box: A combined approach for handling occlusion in Human Pose Estimation. - Rohit Jena (CoRR, 2019)

An approach to image denoising using manifold approximation without clean images. - Rohit Jena (CoRR, 2019)

Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach. - Suyash P. Awate; Saurabh Garg 003; Rohit Jena (Medical Image Anal., 2019)

Augmenting GAIL with BC for sample efficient imitation learning. - Rohit Jena; Changliu Liu; Katia P. Sycara (CoRL, 2020)

MA3: Model Agnostic Adversarial Augmentation for Few Shot learning. - Rohit Jena; Shirsendu Sukanta Halder; Katia P. Sycara (CVPR Workshops, 2020)

Learning Image Inpainting from Incomplete Images using Self-Supervision. - Sriram Yenamandra; Ansh Khurana; Rohit Jena; Suyash P. Awate (ICPR, 2020)

Loss-annealed GAIL for sample efficient and stable Imitation Learning. - Rohit Jena; Katia P. Sycara (CoRR, 2020)

MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning. - Rohit Jena; Shirsendu Sukanta Halder; Katia P. Sycara (CoRR, 2020)

Addressing reward bias in Adversarial Imitation Learning with neutral reward functions. - Rohit Jena; Siddharth Agrawal; Katia P. Sycara (CoRR, 2020)

Predicting Human Strategies in Simulated Search and Rescue Task. - Vidhi Jain; Rohit Jena; Huao Li; Tejus Gupta; Dana Hughes 001; Michael Lewis 001; Katia P. Sycara (CoRR, 2020)

Self-supervised Vessel Enhancement Using Flow-Based Consistencies. - Rohit Jena; Sumedha Singla; Kayhan Batmanghelich (MICCAI (2), 2021)

Transfer Learning for Human Navigation and Triage Strategies Prediction in a Simulated Urban Search and Rescue Task. - Yue Guo 003; Rohit Jena; Dana Hughes 001; Michael Lewis 001; Katia P. Sycara (RO-MAN, 2021)

Beyond mAP: Re-evaluating and Improving Performance in Instance Segmentation with Semantic Sorting and Contrastive Flow. - Rohit Jena; Lukas Zhornyak; Nehal Doiphode; Vivek Buch; James C. Gee; Jianbo Shi (CoRR, 2022)

Beyond mAP: Towards Better Evaluation of Instance Segmentation. - Rohit Jena; Lukas Zhornyak; Nehal Doiphode; Pratik Chaudhari; Vivek Buch; James C. Gee; Jianbo Shi (CVPR, 2023)

Mesh Strikes Back: Fast and Efficient Human Reconstruction from RGB videos. - Rohit Jena; Pratik Chaudhari; James C. Gee; Ganesh Subramanian Iyer; Siddharth Choudhary; Brandon M. Smith 001 (CoRR, 2023)

SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos. - Rohit Jena; Ganesh Subramanian Iyer; Siddharth Choudhary; Brandon M. Smith 001; Pratik Chaudhari; James C. Gee (CoRR, 2023)

Towards Establishing Dense Correspondence on Multiview Coronary Angiography: From Point-to-Point to Curve-to-Curve Query Matching. - Yifan Wu; Rohit Jena; Mehmet A. Gülsün; Vivek K. Singh 002; Puneet Sharma; James C. Gee (CoRR, 2023)

Deep Learning in Medical Image Registration: Magic or Mirage? - Rohit Jena; Deeksha Sethi; Pratik Chaudhari; James C. Gee (NeurIPS, 2024)

FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Registration. - Rohit Jena; Pratik Chaudhari; James C. Gee (CoRR, 2024)

Neural Ordinary Differential Equation based Sequential Image Registration for Dynamic Characterization. - Yifan Wu; Mengjin Dong; Rohit Jena; Chen Qin; James C. Gee (CoRR, 2024)

Deep Implicit Optimization for Robust and Flexible Image Registration. - Rohit Jena; Pratik Chaudhari; James C. Gee (CoRR, 2024)

Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models. - Rohit Jena; Ali Taghibakhshi; Sahil Jain; Gerald Shen; Nima Tajbakhsh; Arash Vahdat (WACV, 2025)

Deep implicit optimization enables robust learnable features for deformable image registration. - Rohit Jena; Pratik Chaudhari; James C. Gee (Medical Image Anal., 2025)