activity
20232026
most citedDaF-BEVSeg: Distortion-aware Fisheye Camera based Bird's Eye View Segmentation with Occlusion Reasoning

2 citations · 2 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

MotionSync: Non-Causal Refinement of Causal Tracker for Label-Efficient 3D Perception

Rahul Ahuja, Bala Murali Manoghar Sai Sudhakar, Shashwata Gupta +3

Three-dimensional box-and-track annotation is the cost bottleneck in autonomous-driving data engines, and the offline systems built to relieve it replace the online perception stac…

cs.CV2026

FishRoPE: Projective Rotary Position Embeddings for Omnidirectional Visual Perception

Rahul Ahuja, Mudit Jain, Bala Murali Manoghar Sai Sudhakar +4

Vision foundation models (VFMs) and Bird's Eye View (BEV) representation have advanced visual perception substantially, yet their internal spatial representations assume the rectil…

cs.CV2026

MambaFusion: Adaptive State-Space Fusion for Multimodal 3D Object Detection

Venkatraman Narayanan, Bala Sai, Rahul Ahuja +3

Reliable 3D object detection is fundamental to autonomous driving, and multimodal fusion algorithms using cameras and LiDAR remain a persistent challenge. Cameras provide dense vis…

cs.CV2024★ 2 cited

DaF-BEVSeg: Distortion-aware Fisheye Camera based Bird's Eye View Segmentation with Occlusion Reasoning

Senthil Yogamani, David Unger, Venkatraman Narayanan +1

Semantic segmentation is an effective way to perform scene understanding. Recently, segmentation in 3D Bird's Eye View (BEV) space has become popular as its directly used by drive…

cs.CV2024

Impact of Video Compression Artifacts on Fisheye Camera Visual Perception Tasks

Madhumitha Sakthi, Louis Kerofsky, Varun Ravi Kumar +1

Autonomous driving systems require extensive data collection schemes to cover the diverse scenarios needed for building a robust and safe system. The data volumes are in the order…

cs.CV2024

Neural Rendering based Urban Scene Reconstruction for Autonomous Driving

Shihao Shen, Louis Kerofsky, Varun Ravi Kumar +1

Dense 3D reconstruction has many applications in automated driving including automated annotation validation, multimodal data augmentation, providing ground truth annotations for s…