5 citations · 12 across the 14 of their papers we have counts for
12 papers · 1 filter
Multi-Scale Invertible Neural Network for Wide-Range Variable-Rate Learned Image Compression
Hanyue Tu, Siqi Wu, Li Li +2
Autoencoder-based structures have dominated recent learned image compression methods. However, the inherent information loss associated with autoencoders limits their rate-distorti…
LaneTCA: Enhancing Video Lane Detection with Temporal Context Aggregation
Keyi Zhou, Li Li, Wengang Zhou +3
In video lane detection, there are rich temporal contexts among successive frames, which is under-explored in existing lane detectors. In this work, we propose LaneTCA to bridge th…
SwinShadow: Shifted Window for Ambiguous Adjacent Shadow Detection
Yonghui Wang, Shaokai Liu, Li Li +2
Shadow detection is a fundamental and challenging task in many computer vision applications. Intuitively, most shadows come from the occlusion of light by the object itself, result…
Forest2Seq: Revitalizing Order Prior for Sequential Indoor Scene Synthesis
Qi Sun, Hang Zhou, Wengang Zhou +2
Synthesizing realistic 3D indoor scenes is a challenging task that traditionally relies on manual arrangement and annotation by expert designers. Recent advances in autoregressive…
Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation
Xiaohan Lei, Min Wang, Wengang Zhou +2
As a new embodied vision task, Instance ImageGoal Navigation (IIN) aims to navigate to a specified object depicted by a goal image in an unexplored environment. The main challenge…
Motion-aware 3D Gaussian Splatting for Efficient Dynamic Scene Reconstruction
Zhiyang Guo, Wengang Zhou, Li Li +2
3D Gaussian Splatting (3DGS) has become an emerging tool for dynamic scene reconstruction. However, existing methods focus mainly on extending static 3DGS into a time-variant repre…