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09/05/2023
TiAVox: Time-aware Attenuation Voxels for Sparse-view 4D DSA Reconstruction
Four-dimensional Digital Subtraction Angiography (4D DSA) plays a critic...
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08/10/2023
MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction
High-definition (HD) map provides abundant and precise static environmen...
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06/27/2023
Symphonize 3D Semantic Scene Completion with Contextual Instance Queries
3D Semantic Scene Completion (SSC) has emerged as a nascent and pivotal ...
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06/08/2023
SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depth
Exploring robust and efficient association methods has always been an im...
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06/07/2023
Matte Anything: Interactive Natural Image Matting with Segment Anything Models
Natural image matting algorithms aim to predict the transparency map (al...
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05/31/2023
GaitGS: Temporal Feature Learning in Granularity and Span Dimension for Gait Recognition
Gait recognition is an emerging biological recognition technology that i...
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05/16/2023
A Range-Null Space Decomposition Approach for Fast and Flexible Spectral Compressive Imaging
We present RND-SCI, a novel framework for compressive hyperspectral imag...
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04/22/2023
LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation
Semantic map construction under bird's-eye view (BEV) plays an essential...
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04/19/2023
VMA: Divide-and-Conquer Vectorized Map Annotation System for Large-Scale Driving Scene
High-definition (HD) map serves as the essential infrastructure of auton...
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04/19/2023
Post-Training Quantization for Object Detection
Efficient inference for object detection networks is a major challenge o...
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04/03/2023
WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation
This paper explores the properties of the plain Vision Transformer (ViT)...
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04/03/2023
RPTQ: Reorder-based Post-training Quantization for Large Language Models
Large-scale language models (LLMs) have demonstrated outstanding perform...
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03/30/2023
MobileInst: Video Instance Segmentation on the Mobile
Although recent approaches aiming for video instance segmentation have a...
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03/28/2023
OpenInst: A Simple Query-Based Method for Open-World Instance Segmentation
Open-world instance segmentation has recently gained significant popular...
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03/27/2023
Generalizable Neural Voxels for Fast Human Radiance Fields
Rendering moving human bodies at free viewpoints only from a monocular v...
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03/23/2023
Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance
Post-training quantization (PTQ) is a popular method for compressing dee...
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03/21/2023
VAD: Vectorized Scene Representation for Efficient Autonomous Driving
Autonomous driving requires a comprehensive understanding of the surroun...
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03/15/2023
Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction
Online lane graph construction is a promising but challenging task in au...
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01/26/2023
Graph Contrastive Learning for Skeleton-based Action Recognition
In the field of skeleton-based action recognition, current top-performin...
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01/24/2023
A Simple Adaptive Unfolding Network for Hyperspectral Image Reconstruction
We present a simple, efficient, and scalable unfolding network, SAUNet, ...
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12/14/2022
PD-Quant: Post-Training Quantization based on Prediction Difference Metric
As a neural network compression technique, post-training quantization (P...
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12/05/2022
Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction
Motion prediction is highly relevant to the perception of dynamic object...
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12/03/2022
Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution
In contrast to fully supervised methods using pixel-wise mask labels, bo...
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10/11/2022
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
Labeling objects with pixel-wise segmentation requires a huge amount of ...
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08/30/2022
MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
We present MapTR, a structured end-to-end framework for efficient online...
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08/07/2022
Robust Multi-Object Tracking by Marginal Inference
Multi-object tracking in videos requires to solve a fundamental problem ...
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07/19/2022
Box-supervised Instance Segmentation with Level Set Evolution
In contrast to the fully supervised methods using pixel-wise mask labels...
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07/05/2022
Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation
In this work, we propose PolarBEV for vision-based uneven BEV representa...
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07/04/2022
Improving Nighttime Driving-Scene Segmentation via Dual Image-adaptive Learnable Filters
Semantic segmentation on driving-scene images is vital for autonomous dr...
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06/22/2022
Polar Parametrization for Vision-based Surround-View 3D Detection
3D detection based on surround-view camera system is a critical techniqu...
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06/13/2022
Featurized Query R-CNN
The query mechanism introduced in the DETR method is changing the paradi...
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06/09/2022
Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer
Learning Bird's Eye View (BEV) representation from surrounding-view came...
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05/30/2022
Fast Dynamic Radiance Fields with Time-Aware Neural Voxels
Neural radiance fields (NeRF) have shown great success in modeling 3D sc...
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04/18/2022
Temporally Efficient Vision Transformer for Video Instance Segmentation
Recently vision transformer has achieved tremendous success on image-lev...
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04/12/2022
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation
Although vision transformers (ViTs) have achieved great success in compu...
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03/27/2022
Knowledge Mining with Scene Text for Fine-Grained Recognition
Recently, the semantics of scene text has been proven to be essential in...
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03/24/2022
AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception
Studying the inherent symmetry of data is of great importance in machine...
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03/24/2022
Sparse Instance Activation for Real-Time Instance Segmentation
In this paper, we propose a conceptually novel, efficient, and fully con...
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12/15/2021
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions
Though deep learning-based object detection methods have achieved promis...
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12/07/2021
Deep Level Set for Box-supervised Instance Segmentation in Aerial Images
Box-supervised instance segmentation has recently attracted lots of rese...
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11/30/2021
NeuSample: Neural Sample Field for Efficient View Synthesis
Neural radiance fields (NeRF) have shown great potentials in representin...
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11/24/2021
Decoupling Visual-Semantic Feature Learning for Robust Scene Text Recognition
Semantic information has been proved effective in scene text recognition...
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10/13/2021
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Multi-object tracking (MOT) aims at estimating bounding boxes and identi...
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08/05/2021
VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild
We present VoxelTrack for multi-person 3D pose estimation and tracking f...
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08/05/2021
Hierarchical Aggregation for 3D Instance Segmentation
Instance segmentation on point clouds is a fundamental task in 3D scene ...
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07/05/2021
What Makes for Hierarchical Vision Transformer?
Recent studies show that hierarchical Vision Transformer with interleave...
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06/22/2021
Tracking Instances as Queries
Recently, query based deep networks catch lots of attention owing to the...
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06/01/2021
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
Can Transformer perform 2D object-level recognition from a pure sequence...
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05/31/2021
MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens
Transformers have offered a new methodology of designing neural networks...
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05/24/2021