research
∙
08/08/2023
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection
False negatives (FN) in 3D object detection, e.g., missing predictions o...
share
research
∙
07/04/2023
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation
This technical report summarizes the winning solution for the 3D Occupan...
research
∙
02/09/2023
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning
Augmenting pretrained language models (LMs) with a vision encoder (e.g.,...
research
∙
01/10/2023
Vision Transformers Are Good Mask Auto-Labelers
We propose Mask Auto-Labeler (MAL), a high-quality Transformer-based mas...
research
∙
10/23/2022
1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track
This report describes the winning solution to the semantic segmentation ...
research
∙
11/30/2021
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition
Built on top of self-attention mechanisms, vision transformers have demo...
research
∙
05/13/2021
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
We introduce DiscoBox, a novel framework that jointly learns instance se...
research
∙
04/24/2021
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
We present a novel architecture for 3D object detection, M3DeTR, which c...
research
∙
07/16/2020
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling
Real-time 3D object detection is crucial for autonomous cars. Achieving ...
research
∙
03/26/2020
SaccadeNet: A Fast and Accurate Object Detector
Object detection is an essential step towards holistic scene understandi...
research
∙
11/19/2018
Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN
Recent advances in deep convolutional neural networks (CNNs) have motiva...
research
∙
12/28/2016
