research
∙
09/11/2023
FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Objection
Multi-sensor modal fusion has demonstrated strong advantages in 3D objec...
share
research
∙
08/02/2023
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving
Building a multi-modality multi-task neural network toward accurate and ...
research
∙
07/24/2023
Dyn-E: Local Appearance Editing of Dynamic Neural Radiance Fields
Recently, the editing of neural radiance fields (NeRFs) has gained consi...
research
∙
04/20/2023
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields
We introduce a new task, novel view synthesis for LiDAR sensors. While t...
research
∙
03/15/2023
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection
While most recent autonomous driving system focuses on developing percep...
research
∙
02/14/2023
Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask
We introduce a novel approach that takes a single semantic mask as input...
research
∙
11/18/2022
α DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling
Differentiable architecture search (DARTS) has been a mainstream directi...
research
∙
10/16/2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
Automatic data augmentation (AutoAugment) strategies are indispensable i...
research
∙
05/30/2022
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection
There are two critical sensors for 3D perception in autonomous driving, ...
research
∙
05/27/2022
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
Fusing the camera and LiDAR information has become a de-facto standard f...
research
∙
01/31/2022
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
The release of tabular benchmarks, such as NAS-Bench-101 and NAS-Bench-2...
research
∙
10/04/2021
An Analysis of Super-Net Heuristics in Weight-Sharing NAS
Weight sharing promises to make neural architecture search (NAS) tractab...
research
∙
04/12/2021
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search
Weight sharing has become a de facto standard in neural architecture sea...
research
∙
03/09/2020
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS
Weight sharing promises to make neural architecture search (NAS) tractab...
research
∙
06/11/2019
Recurrent U-Net for Resource-Constrained Segmentation
State-of-the-art segmentation methods rely on very deep networks that ar...
research
∙
02/21/2019
Overcoming Multi-Model Forgetting
We identify a phenomenon, which we refer to as multi-model forgetting, t...
research
∙
02/21/2019
Evaluating the Search Phase of Neural Architecture Search
Neural Architecture Search (NAS) aims to facilitate the design of deep n...
research
∙
11/27/2018
Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation
As mixed reality is gaining increased momentum, the development of effec...
research
∙
01/23/2018
Statistically Motivated Second Order Pooling
Second-order pooling, a.k.a. bilinear pooling, has proven effective for ...
research
∙
03/20/2017