HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation. - Shubhankar Borse; Hong Cai; Yizhe Zhang 001; Fatih Porikli (BMVC, 2021)

X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation. - Hong Cai; Janarbek Matai; Shubhankar Borse; Yizhe Zhang 001; Amin Ansari; Fatih Porikli (BMVC, 2021)

InverseForm: A Loss Function for Structured Boundary-Aware Segmentation. - Shubhankar Borse; Ying Wang 051; Yizhe Zhang 001; Fatih Porikli (CVPR, 2021)

Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation. - Shubhankar Borse; Hyojin Park 004; Hong Cai; Debasmit Das; Risheek Garrepalli; Fatih Porikli (CVPR, 2022)

Simple and Efficient Architectures for Semantic Segmentation. - Dushyant Mehta; Andrii Skliar; Haitam Ben Yahia; Shubhankar Borse; Fatih Porikli; Amirhossein Habibian; Tijmen Blankevoort (CVPR Workshops, 2022)

Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device. - Hyojin Park 004; Alan Yessenbayev; Tushar Singhal; Navin Kumar Adhikari; Yizhe Zhang 001; Shubhankar Mangesh Borse; Hong Cai; Frank Mayer; Balaji Calidas; Nilesh Prasad Pandey; Fei Yin; Fatih Porikli (CVPR, 2022)

Learning Implicit Feature Alignment Function for Semantic Segmentation. - Hanzhe Hu; Yinbo Chen; Jiarui Xu; Shubhankar Borse; Hong Cai; Fatih Porikli; Xiaolong Wang 004 (ECCV (29), 2022)

AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation. - Yizhe Zhang 001; Shubhankar Borse; Hong Cai; Fatih Porikli (WACV, 2022)

Perceptual Consistency in Video Segmentation. - Yizhe Zhang 001; Shubhankar Borse; Hong Cai; Ying Wang 051; Ning Bi; Xiaoyun Jiang; Fatih Porikli (WACV, 2022)

DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction. - Shubhankar Borse; Debasmit Das; Hyojin Park 004; Hong Cai; Risheek Garrepalli; Fatih Porikli (CVPR, 2023)

X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection. - Marvin Klingner; Shubhankar Borse; Varun Ravi Kumar; Behnaz Rezaei; Venkatraman Narayanan; Senthil Kumar Yogamani; Fatih Porikli (CVPR, 2023)

Transadapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation. - Debasmit Das; Shubhankar Borse; Hyojin Park 004; Kambiz Azarian; Hong Cai; Risheek Garrepalli; Fatih Porikli (ICASSP, 2023)

4D Panoptic Segmentation as Invariant and Equivariant Field Prediction. - Minghan Zhu; Shizhong Han; Maani Ghaffari; Hong Cai; Fatih Porikli; Shubhankar Borse (ICCV, 2023)

Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild. - Kaifeng Zhang; Yang Fu; Shubhankar Borse; Hong Cai; Fatih Porikli; Xiaolong Wang 004 (ICLR, 2023)

Multi-camera Bird's Eye View Perception for Autonomous Driving. - David Unger; Nikhil Gosala; Varun Ravi Kumar; Shubhankar Borse; Abhinav Valada; Senthil Kumar Yogamani (CoRR, 2023)

X-Align++: cross-modal cross-view alignment for Bird's-eye-view segmentation. - Shubhankar Borse; Marvin Klingner; Varun Ravi Kumar; Hong Cai; Abdulaziz Almuzairee; Senthil Kumar Yogamani; Fatih Porikli (Mach. Vis. Appl., 2023)

Sparse High Rank Adapters. - Kartikeya Bhardwaj; Nilesh Prasad Pandey; Sweta Priyadarshi; Viswanath Ganapathy; Shreya Kadambi; Rafael Esteves 002; Shubhankar Borse; Paul N. Whatmough; Risheek Garrepalli; Mart van Baalen; Harris Teague; Markus Nagel (NeurIPS, 2024)

FouRA: Fourier Low-Rank Adaptation. - Shubhankar Borse; Shreya Kadambi; Nilesh Prasad Pandey; Kartikeya Bhardwaj; Viswanath Ganapathy; Sweta Priyadarshi; Risheek Garrepalli; Rafael Esteves 002; Munawar Hayat; Fatih Porikli (NeurIPS, 2024)

PosSAM: Panoptic Open-vocabulary Segment Anything. - Vibashan VS; Shubhankar Borse; Hyojin Park 004; Debasmit Das; Vishal M. Patel; Munawar Hayat; Fatih Porikli (CoRR, 2024)

Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters. - Kartikeya Bhardwaj; Nilesh Prasad Pandey; Sweta Priyadarshi; Viswanath Ganapathy; Rafael Esteves 002; Shreya Kadambi; Shubhankar Borse; Paul N. Whatmough; Risheek Garrepalli; Mart van Baalen; Harris Teague; Markus Nagel (CoRR, 2024)

LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation. - Farzad Farhadzadeh; Debasmit Das; Shubhankar Borse; Fatih Porikli (ICLR, 2025)

SubZero: Composing Subject, Style, and Action via Zero-Shot Personalization. - Shubhankar Borse; Kartikeya Bhardwaj; Mohammad Reza Karimi Dastjerdi; Hyojin Park 004; Shreya Kadambi; Shobitha Shivakumar; Prathamesh Mandke; Ankita Nayak; Harris Teague; Munawar Hayat; Fatih Porikli (CoRR, 2025)

DuoLoRA : Cycle-consistent and Rank-disentangled Content-Style Personalization. - Aniket Roy; Shubhankar Borse; Shreya Kadambi; Debasmit Das; Shweta Mahajan; Risheek Garrepalli; Hyojin Park 004; Ankita Nayak; Rama Chellappa; Munawar Hayat; Fatih Porikli (CoRR, 2025)

Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models. - Farzad Farhadzadeh; Debasmit Das; Shubhankar Borse; Fatih Porikli (CoRR, 2025)

MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans. - Shubhankar Borse; Seokeon Choi; Sunghyun Park 005; Jeongho Kim 007; Shreya Kadambi; Risheek Garrepalli; Sungrack Yun; Munawar Hayat; Fatih Porikli (CoRR, 2025)

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation. - Sunghyun Park 005; Jungsoo Lee; Shubhankar Borse; Munawar Hayat; Sungha Choi; Kyuwoong Hwang; Fatih Porikli (CoRR, 2025)

MADI: Masking-Augmented Diffusion with Inference-Time Scaling for Visual Editing. - Shreya Kadambi; Risheek Garrepalli; Shubhankar Borse; Munawar Hyatt; Fatih Porikli (CoRR, 2025)