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Found 13 papers, 6 papers with code
AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond
AvatarGPT treats each task as one type of instruction fine-tuned on the shared LLM.
A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis
The field has made significant progress in synthesizing realistic human motion driven by various modalities.
ADoPT: LiDAR Spoofing Attack Detection Based on Point-Level Temporal Consistency
Deep neural networks (DNNs) are increasingly integrated into LiDAR (Light Detection and Ranging)-based perception systems for autonomous vehicles (AVs), requiring robust performance under adversarial conditions.
MDSC: Towards Evaluating the Style Consistency Between Music and Dance
We found that directly measuring the embedding distance between motion and music is not an optimal solution.
LAMP: Leveraging Language Prompts for Multi-person Pose Estimation
Human-centric visual understanding is an important desideratum for effective human-robot interaction.
LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network
Due to the difficulty of acquiring large-scale 3D human keypoint annotation, previous methods for 3D human pose estimation (HPE) have often relied on 2D image features and sequential 2D annotations.
LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception
The proposed LiDARFormer utilizes cross-space global contextual feature information and exploits cross-task synergy to boost the performance of LiDAR perception tasks across multiple large-scale datasets and benchmarks.
UDE: A Unified Driving Engine for Human Motion Generation
Generating controllable and editable human motion sequences is a key challenge in 3D Avatar generation.
LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception
LidarMultiNet is extensively tested on both Waymo Open Dataset and nuScenes dataset, demonstrating for the first time that major LiDAR perception tasks can be unified in a single strong network that is trained end-to-end and achieves state-of-the-art performance.
CenterFormer: Center-based Transformer for 3D Object Detection
It then uses the feature of the center candidate as the query embedding in the transformer.
Ranked #2 on
3D Object Detection
on waymo cyclist
LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network
This technical report presents the 1st place winning solution for the Waymo Open Dataset 3D semantic segmentation challenge 2022.
Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation
Panoptic segmentation presents a new challenge in exploiting the merits of both detection and segmentation, with the aim of unifying instance segmentation and semantic segmentation in a single framework.
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
The need for fine-grained perception in autonomous driving systems has resulted in recently increased research on online semantic segmentation of single-scan LiDAR.
Ranked #11 on
Robust 3D Semantic Segmentation
on nuScenes-C
