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09/21/2023
TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance
In this paper, we propose a novel cross-modal distillation method, calle...
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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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08/31/2023
TouchStone: Evaluating Vision-Language Models by Language Models
Large vision-language models (LVLMs) have recently witnessed rapid advan...
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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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06/23/2023
ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration
Image restoration aims to reconstruct degraded images, e.g., denoising o...
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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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06/08/2023
Multi-level Multiple Instance Learning with Transformer for Whole Slide Image Classification
Whole slide image (WSI) refers to a type of high-resolution scanned tiss...
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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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05/24/2023
ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers
Recently, plain vision Transformers (ViTs) have shown impressive perform...
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05/18/2023
ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
In this work, we explore a scalable way for building a general represent...
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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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04/19/2023
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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03/27/2023
ByteTrackV2: 2D and 3D Multi-Object Tracking by Associating Every Detection Box
Multi-object tracking (MOT) aims at estimating bounding boxes and identi...
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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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03/20/2023
EVA-02: A Visual Representation for Neon Genesis
We launch EVA-02, a next-generation Transformer-based visual representat...
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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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02/02/2023
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt
Recently, inspired by DETR variants, query-based end-to-end instance seg...
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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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01/17/2023
Masked Visual Reconstruction in Language Semantic Space
Both masked image modeling (MIM) and natural language supervision have f...
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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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11/14/2022
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
We launch EVA, a vision-centric foundation model to explore the limits o...
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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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07/20/2022
AiATrack: Attention in Attention for Transformer Visual Tracking
Transformer trackers have achieved impressive advancements recently, whe...
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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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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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04/06/2022
Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection
We present an approach to efficiently and effectively adapt a masked ima...
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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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02/07/2022
Corrupted Image Modeling for Self-Supervised Visual Pre-Training
We introduce Corrupted Image Modeling (CIM) for self-supervised visual p...
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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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11/15/2021
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge
Although deep learning methods have achieved advanced video object recog...
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10/13/2021