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09/18/2023
Unsupervised Open-Vocabulary Object Localization in Videos
In this paper, we show that recent advances in video representation lear...
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09/01/2023
Object-Centric Multiple Object Tracking
Unsupervised object-centric learning methods allow the partitioning of s...
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08/31/2023
Coarse-to-Fine Amodal Segmentation with Shape Prior
Amodal object segmentation is a challenging task that involves segmentin...
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08/26/2023
Boosting Residual Networks with Group Knowledge
Recent research understands the residual networks from a new perspective...
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06/06/2023
SAM3D: Segment Anything in 3D Scenes
In this work, we propose SAM3D, a novel framework that is able to predic...
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05/04/2023
Stimulative Training++: Go Beyond The Performance Limits of Residual Networks
Residual networks have shown great success and become indispensable in r...
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02/23/2023
Learning Manifold Dimensions with Conditional Variational Autoencoders
Although the variational autoencoder (VAE) and its conditional extension...
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02/16/2023
LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation
Layout-to-image generation refers to the task of synthesizing photo-real...
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01/16/2023
β-DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search
Neural Architecture Search has attracted increasing attention in recent ...
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12/31/2022
Ponder: Point Cloud Pre-training via Neural Rendering
We propose a novel approach to self-supervised learning of point cloud r...
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12/20/2022
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency
Masked Modeling (MM) has demonstrated widespread success in various visi...
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12/08/2022
Frozen CLIP Model is An Efficient Point Cloud Backbone
The pretraining-finetuning paradigm has demonstrated great success in NL...
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12/06/2022
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds
Despite the tremendous progress of Masked Autoencoders (MAE) in developi...
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11/30/2022
Reconstructing Hand-Held Objects from Monocular Video
This paper presents an approach that reconstructs a hand-held object fro...
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11/17/2022
3D-QueryIS: A Query-based Framework for 3D Instance Segmentation
Previous top-performing methods for 3D instance segmentation often maint...
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10/24/2022
LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations
Data augmentations are important in training high-performance 3D object ...
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10/23/2022
Self-supervised Amodal Video Object Segmentation
Amodal perception requires inferring the full shape of an object that is...
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10/11/2022
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition
Long-tail distribution is widely spread in real-world applications. Due ...
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09/29/2022
Bridging the Gap to Real-World Object-Centric Learning
Humans naturally decompose their environment into entities at the approp...
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04/25/2022
PointInst3D: Segmenting 3D Instances by Points
The current state-of-the-art methods in 3D instance segmentation typical...
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08/17/2021
ARCH++: Animation-Ready Clothed Human Reconstruction Revisited
We present ARCH++, an image-based method to reconstruct 3D avatars with ...
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08/12/2021
Progressive Coordinate Transforms for Monocular 3D Object Detection
Recognizing and localizing objects in the 3D space is a crucial ability ...
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07/18/2021
Dynamic Convolution for 3D Point Cloud Instance Segmentation
We propose an approach to instance segmentation from 3D point clouds bas...
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07/03/2021
Learning Hierarchical Graph Neural Networks for Image Clustering
We propose a hierarchical graph neural network (GNN) model that learns h...
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05/17/2021
HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding
Scene flow in 3D point clouds plays an important role in understanding d...
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05/08/2021
ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting
End-to-end text-spotting, which aims to integrate detection and recognit...
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11/26/2020
DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution
Previous top-performing approaches for point cloud instance segmentation...
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06/15/2020
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction
We propose Geo-PIFu, a method to recover a 3D mesh from a monocular colo...
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06/14/2020
FCOS: A simple and strong anchor-free object detector
In computer vision, object detection is one of most important tasks, whi...
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04/30/2020
Improving Semantic Segmentation via Self-Training
Deep learning usually achieves the best results with complete supervisio...
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04/19/2020
ResNeSt: Split-Attention Networks
While image classification models have recently continued to advance, mo...
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02/24/2020
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
Scene text detection and recognition has received increasing research at...
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01/06/2020
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation
3D point cloud semantic and instance segmentation is crucial and fundame...
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12/24/2019
Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition
A collection of approaches based on graph convolutional networks have pr...
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12/20/2019
Exploring the Capacity of Sequential-free Box Discretization Network for Omnidirectional Scene Text Detection
Omnidirectional scene text detection has received increasing research at...
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12/06/2019
LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning
We describe a policy learning approach to map visual inputs to driving c...
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07/09/2019
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
We present GluonCV and GluonNLP, the deep learning toolkits for computer...
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04/26/2019
Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources
With an increasing demand for training powers for deep learning algorith...
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04/02/2019
FCOS: Fully Convolutional One-Stage Object Detection
We propose a fully convolutional one-stage object detector (FCOS) to sol...
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03/12/2019
Knowledge Adaptation for Efficient Semantic Segmentation
Both accuracy and efficiency are of significant importance to the task o...
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03/05/2019
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
Recent semantic segmentation methods exploit encoder-decoder architectur...
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02/11/2019
Bag of Freebies for Training Object Detection Neural Networks
Comparing with enormous research achievements targeting better image cla...
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01/11/2019
Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors
We present a method to infer 3D pose and shape of vehicles from a single...
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01/09/2019
GIF2Video: Color Dequantization and Temporal Interpolation of GIF images
Graphics Interchange Format (GIF) is a highly portable graphics format t...
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01/03/2019
GeoNet: Deep Geodesic Networks for Point Cloud Analysis
Surface-based geodesic topology provides strong cues for object semantic...
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12/04/2018
Bag of Tricks for Image Classification with Convolutional Neural Networks
Much of the recent progress made in image classification research can be...
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10/04/2018
FashionNet: Personalized Outfit Recommendation with Deep Neural Network
With the rapid growth of fashion-focused social networks and online shop...
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03/09/2018
Single Shot TextSpotter with Explicit Alignment and Attention
Text detection and recognition in natural images have long been consider...
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09/12/2016
Detecting Text in Natural Image with Connectionist Text Proposal Network
We propose a novel Connectionist Text Proposal Network (CTPN) that accur...
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03/31/2016