Search Results for author:
Found 7 papers, 4 papers with code
From Interpolation to Extrapolation: Complete Length Generalization for Arithmetic Transformers
In this paper, we investigate the inherent capabilities of transformer models in learning arithmetic algorithms, such as addition and parity.
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review
Grid-centric perception is a crucial field for mobile robot perception and navigation.
FusionMotion: Multi-Sensor Asynchronous Fusion for Continuous Occupancy Prediction via Neural-ODE
This paper investigates multi-sensor spatio-temporal fusion strategies for continuous occupancy prediction in a systematic manner.
Bridging the View Disparity Between Radar and Camera Features for Multi-modal Fusion 3D Object Detection
A novel method that realizes the feature-level fusion under the bird's-eye view (BEV) for a better feature representation is proposed.
SRCN3D: Sparse R-CNN 3D for Compact Convolutional Multi-View 3D Object Detection and Tracking
Our novel sparse feature sampling module only utilizes local 2D region of interest (RoI) features calculated by the projection of 3D query boxes for further box refinement, leading to a fully-convolutional and deployment-friendly pipeline.
Ranked #8 on
Robust Camera Only 3D Object Detection
on nuScenes-C
Soundify: Matching Sound Effects to Video
In the art of video editing, sound helps add character to an object and immerse the viewer within a space.
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework
Embedding models have been an effective learning paradigm for high-dimensional data.
