research
∙
08/24/2023
Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking
Siamese network has been a de facto benchmark framework for 3D LiDAR obj...
share
research
∙
08/21/2023
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
The conjugate gradient method is a crucial first-order optimization meth...
research
∙
08/20/2023
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation
Despite significant progress in Text-to-Image (T2I) generative models, e...
research
∙
08/18/2023
Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching
Class prototype construction and matching are core aspects of few-shot a...
research
∙
08/03/2023
Multimodal Adaptation of CLIP for Few-Shot Action Recognition
Applying large-scale pre-trained visual models like CLIP to few-shot act...
research
∙
07/02/2023
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
Neural network quantization is a very promising solution in the field of...
research
∙
06/27/2023
SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion
Semantic scene completion (SSC) jointly predicts the semantics and geome...
research
∙
06/27/2023
PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation
Reliable LiDAR panoptic segmentation (LPS), including both semantic and ...
research
∙
03/15/2023
RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction
Recently, neural implicit surfaces have become popular for multi-view re...
research
∙
02/10/2023
Exploiting Neighborhood Structural Features for Change Detection
In this letter, a novel method for change detection is proposed using ne...
research
∙
02/10/2023
Adjacent-level Feature Cross-Fusion with 3D CNN for Remote Sensing Image Change Detection
Deep learning-based change detection using remote sensing images has rec...
research
∙
02/07/2023
Learning Discretized Neural Networks under Ricci Flow
In this paper, we consider Discretized Neural Networks (DNNs) consisting...
research
∙
01/19/2023
Revisiting the Spatial and Temporal Modeling for Few-shot Action Recognition
Spatial and temporal modeling is one of the most core aspects of few-sho...
research
∙
01/17/2023
BSNet: Lane Detection via Draw B-spline Curves Nearby
Curve-based methods are one of the classic lane detection methods. They ...
research
∙
07/17/2022
E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context
Recently, the image-wise implicit neural representation of videos, NeRV,...
research
∙
11/29/2021
A Simple Long-Tailed Recognition Baseline via Vision-Language Model
The visual world naturally exhibits a long-tailed distribution of open c...
research
∙
11/21/2021
MaIL: A Unified Mask-Image-Language Trimodal Network for Referring Image Segmentation
Referring image segmentation is a typical multi-modal task, which aims a...
research
∙
10/28/2021
Explicitly Modeling the Discriminability for Instance-Aware Visual Object Tracking
Visual object tracking performance has been dramatically improved in rec...
research
∙
09/17/2021
ActionCLIP: A New Paradigm for Video Action Recognition
The canonical approach to video action recognition dictates a neural mod...
research
∙
08/17/2021
Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation
Remarkable results have been achieved by DCNN based self-supervised dept...
research
∙
06/01/2021
TransVOS: Video Object Segmentation with Transformers
Recently, Space-Time Memory Network (STM) based methods have achieved st...
research
∙
12/15/2020
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Monocular Depth Completion
Depth completion aims to recover a dense depth map from a sparse depth m...
research
∙
09/15/2020
Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition
Recent years have witnessed the significant progress of action recogniti...
research
∙
08/26/2020
Semantic Graph Based Place Recognition for 3D Point Clouds
Due to the difficulty in generating the effective descriptors which are ...
research
∙
08/11/2020
DTVNet: Dynamic Time-lapse Video Generation via Single Still Image
This paper presents a novel end-to-end dynamic time-lapse video generati...
research
∙
05/26/2020
The 'Letter' Distribution in the Chinese Language
Corpus-based statistical analysis plays a significant role in linguistic...
research
∙
03/29/2020
Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose
Recent works have shown how realistic talking face images can be obtaine...
research
∙
03/16/2020
Extended Feature Pyramid Network for Small Object Detection
Small object detection remains an unsolved challenge because it is hard ...
research
∙
08/07/2019
STM: SpatioTemporal and Motion Encoding for Action Recognition
Spatiotemporal and motion features are two complementary and crucial inf...
research
∙
03/15/2017
Large Margin Object Tracking with Circulant Feature Maps
Structured output support vector machine (SVM) based tracking algorithms...
research
∙
03/15/2017