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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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06/07/2023
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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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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03/15/2023
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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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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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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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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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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04/12/2022
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation
Although vision transformers (ViTs) have achieved great success in compu...
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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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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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05/05/2021
QueryInst: Parallelly Supervised Mask Query for Instance Segmentation
Recently, query based object detection frameworks achieve comparable per...
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08/20/2019
Deep High-Resolution Representation Learning for Visual Recognition
High-resolution representations are essential for position-sensitive vis...
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06/23/2019
Densely Connected Search Space for More Flexible Neural Architecture Search
In recent years, neural architecture search (NAS) has dramatically advan...
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11/28/2018
CCNet: Criss-Cross Attention for Semantic Segmentation
Long-range dependencies can capture useful contextual information to ben...
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01/30/2018
