Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation. - Georgios Kouros; Shubham Shrivastava; Cédric Picron; Sushruth Nagesh; Punarjay Chakravarty; Tinne Tuytelaars (BMVC, 2022)

Structure Aware and Class Balanced 3D Object Detection on nuScenes Dataset. - Sushruth Nagesh; Asfiya Baig; Savitha Srinivasan (CoRR, 2022)

Domain Adaptation for Object Detection using SE Adaptors and Center Loss. - Sushruth Nagesh; Shreyas Rajesh; Asfiya Baig; Savitha Srinivasan (CoRR, 2022)

Look Both Ways: Bidirectional Visual Sensing for Automatic Multi-Camera Registration. - Subodh Mishra; Sushruth Nagesh; Sagar Manglani; Graham Mills; Punarjay Chakravarty; Gaurav Pandey 004 (CoRR, 2022)

DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets. - Shubham Shrivastava; Xianling Zhang; Sushruth Nagesh; Armin Parchami (ICCV (Workshops), 2023)

Ref-DVGO: Reflection-Aware Direct Voxel Grid Optimization for an Improved Quality-Efficiency Trade-Off in Reflective Scene Reconstruction. - Georgios Kouros; Minye Wu; Shubham Shrivastava; Sushruth Nagesh; Punarjay Chakravarty; Tinne Tuytelaars (CoRR, 2023)

RGB-X Object Detection via Scene-Specific Fusion Modules. - Sri Aditya Deevi; Connor T. Lee; Lu Gan 006; Sushruth Nagesh; Gaurav Pandey 004; Soon-Jo Chung (CoRR, 2023)

Unveiling the Ambiguity in Neural Inverse Rendering: A Parameter Compensation Analysis. - Georgios Kouros; Minye Wu; Sushruth Nagesh; Xianling Zhang; Tinne Tuytelaars (CVPR Workshops, 2024)

RGB-X Object Detection via Scene-Specific Fusion Modules. - Sri Aditya Deevi; Connor Lee; Lu Gan 006; Sushruth Nagesh; Gaurav Pandey 004; Soon-Jo Chung (WACV, 2024)