activity
20192026
most citedCo-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction

38 citations · 56 across the 18 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

cs.CV2024

Towards Interactive Global Geolocation Assistant

Zhiyang Dou, Zipeng Wang, Xumeng Han +3

Global geolocation, which seeks to predict the geographical location of images captured anywhere in the world, is one of the most challenging tasks in the field of computer vision.…

cs.CV2024

ViMoE: An Empirical Study of Designing Vision Mixture-of-Experts

Xumeng Han, Longhui Wei, Zhiyang Dou +6

Mixture-of-Experts (MoE) models embody the divide-and-conquer concept and are a promising approach for increasing model capacity, demonstrating excellent scalability across multipl…

cs.CV2024

Revisit Event Generation Model: Self-Supervised Learning of Event-to-Video Reconstruction with Implicit Neural Representations

Zipeng Wang, Yunfan Lu, Lin Wang

Reconstructing intensity frames from event data while maintaining high temporal resolution and dynamic range is crucial for bridging the gap between event-based and frame-based com…

cs.CV2024

PyGS: Large-scale Scene Representation with Pyramidal 3D Gaussian Splatting

Zipeng Wang, Dan Xu

Neural Radiance Fields (NeRFs) have demonstrated remarkable proficiency in synthesizing photorealistic images of large-scale scenes. However, they are often plagued by a loss of fi…

cs.CV2024★ 38 cited

Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction

Jingyi Pan, Zipeng Wang, Lin Wang

3D semantic occupancy prediction is a pivotal task in the field of autonomous driving. Recent approaches have made great advances in 3D semantic occupancy predictions on a single m…

cs.CV2024

HR-INR: Continuous Space-Time Video Super-Resolution via Event Camera

Yunfan Lu, Yusheng Wang, Zipeng Wang +3

Continuous space-time video super-resolution (C-STVSR) aims to simultaneously enhance video resolution and frame rate at an arbitrary scale. Recently, implicit neural representatio…