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20162025
most citedPP-YOLO: An Effective and Efficient Implementation of Object Detector

234 citations · 2k across the 144 of their papers we have counts for

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Showing 2023Show all

24 papers · 1 filter

cs.CV2023★ 2 cited

GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization

Yahao Shi, Yanmin Wu, Chenming Wu +7

This paper presents a 3D Gaussian Inverse Rendering (GIR) method, employing 3D Gaussian representations to effectively factorize the scene into material properties, light, and geom…

cs.CV2023★ 5 cited

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception

Junkun Yuan, Xinyu Zhang, Hao Zhou +12

Model pre-training is essential in human-centric perception. In this paper, we first introduce masked image modeling (MIM) as a pre-training approach for this task. Upon revisiting…

cs.CV2023

Accelerating Vision Transformers Based on Heterogeneous Attention Patterns

Deli Yu, Teng Xi, Jianwei Li +7

Recently, Vision Transformers (ViTs) have attracted a lot of attention in the field of computer vision. Generally, the powerful representative capacity of ViTs mainly benefits from…

cs.CV2023

Forward Flow for Novel View Synthesis of Dynamic Scenes

Xiang Guo, Jiadai Sun, Yuchao Dai +6

This paper proposes a neural radiance field (NeRF) approach for novel view synthesis of dynamic scenes using forward warping. Existing methods often adopt a static NeRF to represen…

cs.CV2023★ 14 cited

VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation

Xin Li, Wenqing Chu, Ye Wu +7

In this paper, we present VideoGen, a text-to-video generation approach, which can generate a high-definition video with high frame fidelity and strong temporal consistency using r…

cs.CV2023★ 3 cited

Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation

Huan Liu, Qiang Chen, Zichang Tan +9

In this paper, we study the problem of end-to-end multi-person pose estimation. State-of-the-art solutions adopt the DETR-like framework, and mainly develop the complex decoder, e.…