activity
20232025
most citedFusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection

5 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

IBGS: Image-Based Gaussian Splatting

Hoang Chuong Nguyen, Wei Mao, Jose M. Alvarez +1

3D Gaussian Splatting (3DGS) has recently emerged as a fast, high-quality method for novel view synthesis (NVS). However, its use of low-degree spherical harmonics limits its abili…

cs.CV2025

Joint Optimization of Neural Radiance Fields and Continuous Camera Motion from a Monocular Video

Hoang Chuong Nguyen, Wei Mao, Jose M. Alvarez +1

Neural Radiance Fields (NeRF) has demonstrated its superior capability to represent 3D geometry but require accurately precomputed camera poses during training. To mitigate this re…

cs.CV2025★ 1 cited

Motion Anything: Any to Motion Generation

Zeyu Zhang, Yiran Wang, Wei Mao +7

Conditional motion generation has been extensively studied in computer vision, yet two critical challenges remain. First, while masked autoregressive methods have recently outperfo…

cs.SD2024

MIDGET: Music Conditioned 3D Dance Generation

Jinwu Wang, Wei Mao, Miaomiao Liu

In this paper, we introduce a MusIc conditioned 3D Dance GEneraTion model, named MIDGET based on Dance motion Vector Quantised Variational AutoEncoder (VQ-VAE) model and Motion Gen…

cs.CV2023★ 5 cited

FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection

Chunyong Hu, Hang Zheng, Kun Li +11

Multi-sensor modal fusion has demonstrated strong advantages in 3D object detection tasks. However, existing methods that fuse multi-modal features require transforming features in…

cs.CV2023

Scene-aware Human Motion Forecasting via Mutual Distance Prediction

Chaoyue Xing, Wei Mao, Miaomiao Liu

In this paper, we tackle the problem of scene-aware 3D human motion forecasting. A key challenge of this task is to predict future human motions that are consistent with the scene…