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20172024
most citedImpression Network for Video Object Detection

29 citations · 56 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

EucliDreamer: Fast and High-Quality Texturing for 3D Models with Depth-Conditioned Stable Diffusion

Cindy Le, Congrui Hetang, Chendi Lin +2

We present EucliDreamer, a simple and effective method to generate textures for 3D models given text prompts and meshes. The texture is parametrized as an implicit function on the…

cs.CV20241 cited

Segment Anything Model for Road Network Graph Extraction

Congrui Hetang, Haoru Xue, Cindy Le +3

We propose SAM-Road, an adaptation of the Segment Anything Model (SAM) for extracting large-scale, vectorized road network graphs from satellite imagery. To predict graph geometry,…

cs.CV2023

Novel View Synthesis from a Single RGBD Image for Indoor Scenes

Congrui Hetang, Yuping Wang

In this paper, we propose an approach for synthesizing novel view images from a single RGBD (Red Green Blue-Depth) input. Novel view synthesis (NVS) is an interesting computer visi…

cs.CV2023

EucliDreamer: Fast and High-Quality Texturing for 3D Models with Stable Diffusion Depth

Cindy Le, Congrui Hetang, Chendi Lin +2

This paper presents a novel method to generate textures for 3D models given text prompts and 3D meshes. Additional depth information is taken into account to perform the Score Dist…

cs.CV201726 cited

Region-based Quality Estimation Network for Large-scale Person Re-identification

Guanglu Song, Biao Leng, Yu Liu +2

One of the major restrictions on the performance of video-based person re-id is partial noise caused by occlusion, blur and illumination. Since different spatial regions of a singl…

cs.CV201729 cited

Impression Network for Video Object Detection

Congrui Hetang, Hongwei Qin, Shaohui Liu +1

Video object detection is more challenging compared to image object detection. Previous works proved that applying object detector frame by frame is not only slow but also inaccura…