research
∙
09/18/2023
Unsupervised Open-Vocabulary Object Localization in Videos
In this paper, we show that recent advances in video representation lear...
share
research
∙
09/01/2023
Object-Centric Multiple Object Tracking
Unsupervised object-centric learning methods allow the partitioning of s...
research
∙
08/31/2023
Coarse-to-Fine Amodal Segmentation with Shape Prior
Amodal object segmentation is a challenging task that involves segmentin...
research
∙
08/30/2023
WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model
Enabling robots to understand language instructions and react accordingl...
research
∙
08/21/2023
Rethinking Person Re-identification from a Projection-on-Prototypes Perspective
Person Re-IDentification (Re-ID) as a retrieval task, has achieved treme...
research
∙
08/21/2023
Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification
Cloth-changing person Re-IDentification (Re-ID) is a particularly challe...
research
∙
08/06/2023
Local Consensus Enhanced Siamese Network with Reciprocal Loss for Two-view Correspondence Learning
Recent studies of two-view correspondence learning usually establish an ...
research
∙
07/21/2023
PourIt!: Weakly-supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring
Liquid perception is critical for robotic pouring tasks. It usually requ...
research
∙
05/26/2023
GeoVLN: Learning Geometry-Enhanced Visual Representation with Slot Attention for Vision-and-Language Navigation
Most existing works solving Room-to-Room VLN problem only utilize RGB im...
research
∙
05/19/2023
A Unified Prompt-Guided In-Context Inpainting Framework for Reference-based Image Manipulations
Recent advancements in Text-to-Image (T2I) generative models have yielde...
research
∙
04/24/2023
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions
Most existing point cloud upsampling methods have roughly three steps: f...
research
∙
03/26/2023
Semantic Neural Decoding via Cross-Modal Generation
Semantic neural decoding aims to elucidate the cognitive processes of th...
research
∙
03/26/2023
Learning Versatile 3D Shape Generation with Improved AR Models
Auto-Regressive (AR) models have achieved impressive results in 2D image...
research
∙
03/15/2023
Rethinking Optical Flow from Geometric Matching Consistent Perspective
Optical flow estimation is a challenging problem remaining unsolved. Rec...
research
∙
03/11/2023
Rethinking the Multi-view Stereo from the Perspective of Rendering-based Augmentation
GigaMVS presents several challenges to existing Multi-View Stereo (MVS) ...
research
∙
03/06/2023
Improving Transformer-based Image Matching by Cascaded Capturing Spatially Informative Keypoints
Learning robust local image feature matching is a fundamental low-level ...
research
∙
02/22/2023
Entity-Level Text-Guided Image Manipulation
Existing text-guided image manipulation methods aim to modify the appear...
research
∙
02/18/2023
Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
Cross-Domain Few-Shot Learning (CD-FSL) is a recently emerging task that...
research
∙
01/06/2023
Exploring Efficient Few-shot Adaptation for Vision Transformers
The task of Few-shot Learning (FSL) aims to do the inference on novel ca...
research
∙
01/03/2023
Vocabulary-informed Zero-shot and Open-set Learning
Despite significant progress in object categorization, in recent years, ...
research
∙
01/02/2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels
A noisy training set usually leads to the degradation of the generalizat...
research
∙
11/30/2022
Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning
Positive-Unlabeled (PU) learning aims to learn a model with rare positiv...
research
∙
11/29/2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning
The task of Few-shot learning (FSL) aims to transfer the knowledge learn...
research
∙
11/28/2022
RankDNN: Learning to Rank for Few-shot Learning
This paper introduces a new few-shot learning pipeline that casts releva...
research
∙
10/23/2022
Self-supervised Amodal Video Object Segmentation
Amodal perception requires inferring the full shape of an object that is...
research
∙
10/12/2022
ZITS++: Image Inpainting by Improving the Incremental Transformer on Structural Priors
The image inpainting task fills missing areas of a corrupted image. Desp...
research
∙
10/11/2022
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning
Recently, Cross-Domain Few-Shot Learning (CD-FSL) which aims at addressi...
research
∙
10/07/2022
Specialized Re-Ranking: A Novel Retrieval-Verification Framework for Cloth Changing Person Re-Identification
Cloth changing person re-identification(Re-ID) can work under more compl...
research
∙
08/18/2022
LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling
Recent progress in 4D implicit representation focuses on globally contro...
research
∙
08/04/2022
MVSFormer: Multi-View Stereo with Pre-trained Vision Transformers and Temperature-based Depth
Feature representation learning is the key recipe for learning-based Mul...
research
∙
08/03/2022
Learning Prior Feature and Attention Enhanced Image Inpainting
Many recent inpainting works have achieved impressive results by leverag...
research
∙
07/19/2022
RCLane: Relay Chain Prediction for Lane Detection
Lane detection is an important component of many real-world autonomous s...
research
∙
07/19/2022
Visual Representation Learning with Transformer: A Sequence-to-Sequence Perspective
Visual representation learning is the key of solving various vision prob...
research
∙
07/17/2022
A Simple Test-Time Method for Out-of-Distribution Detection
Neural networks are known to produce over-confident predictions on input...
research
∙
06/17/2022
Local Slot Attention for Vision-and-Language Navigation
Vision-and-language navigation (VLN), a frontier study aiming to pave th...
research
∙
06/07/2022
Wavelet Prior Attention Learning in Axial Inpainting Network
Image inpainting is the task of filling masked or unknown regions of an ...
research
∙
05/09/2022
Learning 6-DoF Object Poses to Grasp Category-level Objects by Language Instructions
This paper studies the task of any objects grasping from the known categ...
research
∙
05/09/2022
I Know What You Draw: Learning Grasp Detection Conditioned on a Few Freehand Sketches
In this paper, we are interested in the problem of generating target gra...
research
∙
04/30/2022
ONCE-3DLanes: Building Monocular 3D Lane Detection
We present ONCE-3DLanes, a real-world autonomous driving dataset with la...
research
∙
04/27/2022
Density-preserving Deep Point Cloud Compression
Local density of point clouds is crucial for representing local details,...
research
∙
04/22/2022
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition
One-shot fine-grained visual recognition often suffers from the problem ...
research
∙
04/21/2022
Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images
We study the problem of shape generation in 3D mesh representation from ...
research
∙
04/09/2022
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation
Existing text-guided image manipulation methods aim to modify the appear...
research
∙
04/03/2022
DST: Dynamic Substitute Training for Data-free Black-box Attack
With the wide applications of deep neural network models in various comp...
research
∙
03/31/2022
ImpDet: Exploring Implicit Fields for 3D Object Detection
Conventional 3D object detection approaches concentrate on bounding boxe...
research
∙
03/28/2022
A Framework of Meta Functional Learning for Regularising Knowledge Transfer
Machine learning classifiers' capability is largely dependent on the sca...
research
∙
03/27/2022
An Empirical Study and Comparison of Recent Few-Shot Object Detection Algorithms
The generic object detection (GOD) task has been successfully tackled by...
research
∙
03/22/2022
QS-Craft: Learning to Quantize, Scrabble and Craft for Conditional Human Motion Animation
This paper studies the task of conditional Human Motion Animation (cHMA)...
research
∙
03/15/2022
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels
Noisy training set usually leads to the degradation of generalization an...
research
∙
03/15/2022
