activity
20242026
most citedSemAttNet: Towards Attention-based Semantic Aware Guided Depth Completion

67 citations · 67 across the 2 of their papers we have counts for

collaborators

9 papers

cs.CV2026

EgoForce: Forearm-Guided Camera-Space 3D Hand Pose from a Monocular Egocentric Camera

Christen Millerdurai, Shaoxiang Wang, Yaxu Xie +3

Reconstructing the absolute 3D pose and shape of the hands from the user's viewpoint using a single head-mounted camera is crucial for practical egocentric interaction in AR/VR, te…

cs.CV202667 cited

SemAttNet: Towards Attention-based Semantic Aware Guided Depth Completion

Danish Nazir, Marcus Liwicki, Didier Stricker +1

Depth completion involves recovering a dense depth map from a sparse map and an RGB image. Recent approaches focus on utilizing color images as guidance images to recover depth at…

cs.CV2026

TinyIceNet: Low-Power SAR Sea Ice Segmentation for On-Board FPGA Inference

Mhd Rashed Al Koutayni, Mohamed Selim, Gerd Reis +2

Accurate sea ice mapping is essential for safe maritime navigation in polar regions, where rapidly changing ice conditions require timely and reliable information. While Sentinel-1…

cs.CV2025

Inpaint360GS: Efficient Object-Aware 3D Inpainting via Gaussian Splatting for 360° Scenes

Shaoxiang Wang, Shihong Zhang, Christen Millerdurai +3

Despite recent advances in single-object front-facing inpainting using NeRF and 3D Gaussian Splatting (3DGS), inpainting in complex 360° scenes remains largely underexplored. This…

cs.CV2025

Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation

Chun-Peng Chang, Chen-Yu Wang, Julian Schmidt +2

Recent advancements in video generation have substantially improved visual quality and temporal coherence, making these models increasingly appealing for applications such as auton…

cs.CV2025

3D Spatial Understanding in MLLMs: Disambiguation and Evaluation

Chun-Peng Chang, Alain Pagani, Didier Stricker

Multimodal Large Language Models (MLLMs) have made significant progress in tasks such as image captioning and question answering. However, while these models can generate realistic…