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20182026
most citedMMDetection: Open MMLab Detection Toolbox and Benchmark

794 citations · 2k across the 30 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding

Haoyi Jiang, Liu Liu, Tianheng Cheng +5

3D Semantic Occupancy Prediction is fundamental for spatial understanding, yet existing approaches face challenges in scalability and generalization due to their reliance on extens…

cs.CV2024

Mask-Adapter: The Devil is in the Masks for Open-Vocabulary Segmentation

Yongkang Li, Tianheng Cheng, Bin Feng +2

Recent open-vocabulary segmentation methods adopt mask generators to predict segmentation masks and leverage pre-trained vision-language models, e.g., CLIP, to classify these masks…

cs.CV2024

ControlAR: Controllable Image Generation with Autoregressive Models

Zongming Li, Tianheng Cheng, Shoufa Chen +6

Autoregressive (AR) models have reformulated image generation as next-token prediction, demonstrating remarkable potential and emerging as strong competitors to diffusion models. H…

cs.CV2024★ 1 cited

Occupancy as Set of Points

Yiang Shi, Tianheng Cheng, Qian Zhang +2

In this paper, we explore a novel point representation for 3D occupancy prediction from multi-view images, which is named Occupancy as Set of Points. Existing camera-based methods…

cs.CV2024

EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model

Yuxuan Zhang, Tianheng Cheng, Lianghui Zhu +7

Segment Anything Model (SAM) has attracted widespread attention for its superior interactive segmentation capabilities with visual prompts while lacking further exploration of text…

cs.CV2024★ 28 cited

YOLO-World: Real-Time Open-Vocabulary Object Detection

Tianheng Cheng, Lin Song, Yixiao Ge +3

The You Only Look Once (YOLO) series of detectors have established themselves as efficient and practical tools. However, their reliance on predefined and trained object categories…