most citedLMSeg: Language-guided Multi-dataset Segmentation

2 citations · 3 across the 3 of their papers we have counts for

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cs.CV2024

VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing

Shang Liu, Chaohui Yu, Chenjie Cao +2

Recent research on texture synthesis for 3D shapes benefits a lot from dramatically developed 2D text-to-image diffusion models, including inpainting-based and optimization-based a…

cs.CV2023

Improved Neural Radiance Fields Using Pseudo-depth and Fusion

Jingliang Li, Qiang Zhou, Chaohui Yu +4

Since the advent of Neural Radiance Fields, novel view synthesis has received tremendous attention. The existing approach for the generalization of radiance field reconstruction pr…

cs.CV20231 cited

D2Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers

Qiang Zhou, Chaohui Yu, Zhibin Wang +1

Despite the promising results, existing oriented object detection methods usually involve heuristically designed rules, e.g., RRoI generation, rotated NMS. In this paper, we propos…

cs.CV20232 cited

LMSeg: Language-guided Multi-dataset Segmentation

Qiang Zhou, Yuang Liu, Chaohui Yu +3

It's a meaningful and attractive topic to build a general and inclusive segmentation model that can recognize more categories in various scenarios. A straightforward way is to comb…

cs.CV2023

Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation

Chaohui Yu, Qiang Zhou, Jingliang Li +3

Modern incremental learning for semantic segmentation methods usually learn new categories based on dense annotations. Although achieve promising results, pixel-by-pixel labeling i…