120 citations · 266 across the 12 of their papers we have counts for
12 papers
Mirror-NeRF: Learning Neural Radiance Fields for Mirrors with Whitted-Style Ray Tracing
Junyi Zeng, Chong Bao, Rui Chen +4
Recently, Neural Radiance Fields (NeRF) has exhibited significant success in novel view synthesis, surface reconstruction, etc. However, since no physical reflection is considered…
Fine-grained Text-Video Retrieval with Frozen Image Encoders
Zuozhuo Dai, Fangtao Shao, Qingkun Su +2
State-of-the-art text-video retrieval (TVR) methods typically utilize CLIP and cosine similarity for efficient retrieval. Meanwhile, cross attention methods, which employ a transfo…
PanoContext-Former: Panoramic Total Scene Understanding with a Transformer
Yuan Dong, Chuan Fang, Liefeng Bo +2
Panoramic image enables deeper understanding and more holistic perception of surrounding environment, which can naturally encode enriched scene context information comp…
Dense RGB SLAM with Neural Implicit Maps
Heng Li, Xiaodong Gu, Weihao Yuan +3
There is an emerging trend of using neural implicit functions for map representation in Simultaneous Localization and Mapping (SLAM). Some pioneer works have achieved encouraging r…
Net: Accurate Panorama Depth Estimation on Spherical Surface
Meng Li, Senbo Wang, Weihao Yuan +3
Monocular depth estimation is an ambiguous problem, thus global structural cues play an important role in current data-driven single-view depth estimation methods. Panorama images…
3D Former: Monocular Scene Reconstruction with 3D SDF Transformers
Weihao Yuan, Xiaodong Gu, Heng Li +2
Monocular scene reconstruction from posed images is challenging due to the complexity of a large environment. Recent volumetric methods learn to directly predict the TSDF volume an…
RenderNet: Visual Relocalization Using Virtual Viewpoints in Large-Scale Indoor Environments
Jiahui Zhang, Shitao Tang, Kejie Qiu +6
Visual relocalization has been a widely discussed problem in 3D vision: given a pre-constructed 3D visual map, the 6 DoF (Degrees-of-Freedom) pose of a query image is estimated. Re…
AR Mapping: Accurate and Efficient Mapping for Augmented Reality
Rui Huang, Chuan Fang, Kejie Qiu +4
Augmented reality (AR) has gained increasingly attention from both research and industry communities. By overlaying digital information and content onto the physical world, AR enab…
DRO: Deep Recurrent Optimizer for Video to Depth
Xiaodong Gu, Weihao Yuan, Zuozhuo Dai +4
There are increasing interests of studying the video-to-depth (V2D) problem with machine learning techniques. While earlier methods directly learn a mapping from images to depth ma…
Single-Shot is Enough: Panoramic Infrastructure Based Calibration of Multiple Cameras and 3D LiDARs
Chuan Fang, Shuai Ding, Zilong Dong +3
The integration of multiple cameras and 3D Li- DARs has become basic configuration of augmented reality devices, robotics, and autonomous vehicles. The calibration of multi-modal s…
UniFuse: Unidirectional Fusion for 360 Panorama Depth Estimation
Hualie Jiang, Zhe Sheng, Siyu Zhu +2
Learning depth from spherical panoramas is becoming a popular research topic because a panorama has a full field-of-view of the environment and provides a relatively complete descr…
ENFT: Efficient Non-Consecutive Feature Tracking for Robust Structure-from-Motion
Guofeng Zhang, Haomin Liu, Zilong Dong +3
Structure-from-motion (SfM) largely relies on feature tracking. In image sequences, if disjointed tracks caused by objects moving in and out of the field of view, occasional occlus…