activity
20232025
most citedGrounded SAM: Assembling Open-World Models for Diverse Visual Tasks

93 citations · 132 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

DreamWaltz-G: Expressive 3D Gaussian Avatars from Skeleton-Guided 2D Diffusion

Yukun Huang, Jianan Wang, Ailing Zeng +3

Leveraging pretrained 2D diffusion models and score distillation sampling (SDS), recent methods have shown promising results for text-to-3D avatar generation. However, generating h…

cs.CV2024

Open-World Human-Object Interaction Detection via Multi-modal Prompts

Jie Yang, Bingliang Li, Ailing Zeng +2

In this paper, we develop \textbf{MP-HOI}, a powerful Multi-modal Prompt-based HOI detector designed to leverage both textual descriptions for open-set generalization and visual ex…

cs.CV2024★ 6 cited

MotionLLM: Understanding Human Behaviors from Human Motions and Videos

Ling-Hao Chen, Shunlin Lu, Ailing Zeng +4

This study delves into the realm of multi-modality (i.e., video and motion modalities) human behavior understanding by leveraging the powerful capabilities of Large Language Models…

cs.CV2024

AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation

Qingping Sun, Yanjun Wang, Ailing Zeng +8

Expressive human pose and shape estimation (a.k.a. 3D whole-body mesh recovery) involves the human body, hand, and expression estimation. Most existing methods have tackled this ta…

cs.CV2024★ 93 cited

Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Tianhe Ren, Shilong Liu, Ailing Zeng +14

We introduce Grounded SAM, which uses Grounding DINO as an open-set object detector to combine with the segment anything model (SAM). This integration enables the detection and seg…