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07/18/2023
Semi-supervised Cycle-GAN for face photo-sketch translation in the wild
The performance of face photo-sketch translation has improved a lot than...
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07/16/2023
Semi-DETR: Semi-Supervised Object Detection with Detection Transformers
We analyze the DETR-based framework on semi-supervised object detection ...
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07/06/2023
CityTrack: Improving City-Scale Multi-Camera Multi-Target Tracking by Location-Aware Tracking and Box-Grained Matching
Multi-Camera Multi-Target Tracking (MCMT) is a computer vision technique...
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05/12/2023
Multi-Modal 3D Object Detection by Box Matching
Multi-modal 3D object detection has received growing attention as the in...
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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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03/27/2023
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection
With basic Semi-Supervised Object Detection (SSOD) techniques, one-stage...
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03/17/2023
CAPE: Camera View Position Embedding for Multi-View 3D Object Detection
In this paper, we address the problem of detecting 3D objects from multi...
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03/09/2023
Improving Video Retrieval by Adaptive Margin
Video retrieval is becoming increasingly important owing to the rapid em...
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01/04/2023
StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection
In this paper, we propose a cross-modal distillation method named Stereo...
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10/11/2022
Repainting and Imitating Learning for Lane Detection
Current lane detection methods are struggling with the invisibility lane...
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10/08/2022
Detaching and Boosting: Dual Engine for Scale-Invariant Self-Supervised Monocular Depth Estimation
Monocular depth estimation (MDE) in the self-supervised scenario has eme...
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09/28/2022
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
3D scenes are dominated by a large number of background points, which is...
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08/24/2022
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network
The human brain can effortlessly recognize and localize objects, whereas...
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07/12/2022
Paint and Distill: Boosting 3D Object Detection with Semantic Passing Network
3D object detection task from lidar or camera sensors is essential for a...
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06/15/2022
Neural Deformable Voxel Grid for Fast Optimization of Dynamic View Synthesis
Recently, Neural Radiance Fields (NeRF) is revolutionizing the task of n...
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04/25/2022
A Simple Structure For Building A Robust Model
As deep learning applications, especially programs of computer vision, a...
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04/16/2022
GitNet: Geometric Prior-based Transformation for Birds-Eye-View Segmentation
Birds-eye-view (BEV) semantic segmentation is critical for autonomous dr...
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04/08/2022
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
Adversarial learning has achieved remarkable performances for unsupervis...
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03/25/2022
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task
Concurrent perception datasets for autonomous driving are mainly limited...
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12/28/2021
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection
Low-cost monocular 3D object detection plays a fundamental role in auton...
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12/03/2021
SGM3D: Stereo Guided Monocular 3D Object Detection
Monocular 3D object detection is a critical yet challenging task for aut...
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12/14/2020
Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective
The re-ranking approach leverages high-confidence retrieved samples to r...
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10/25/2020
Coherent Loss: A Generic Framework for Stable Video Segmentation
Video segmentation approaches are of great importance for numerous visio...
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10/12/2020
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching
Discriminatively localizing sounding objects in cocktail-party, i.e., mi...
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09/18/2020
Face Sketch Synthesis with Style Transfer using Pyramid Column Feature
In this paper, we propose a novel framework based on deep neural network...
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07/03/2020
Segment as Points for Efficient Online Multi-Object Tracking and Segmentation
Current multi-object tracking and segmentation (MOTS) methods follow the...
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07/03/2020
PointTrack++ for Effective Online Multi-Object Tracking and Segmentation
Multiple-object tracking and segmentation (MOTS) is a novel computer vis...
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06/08/2020
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection
Object detection from 3D point clouds remains a challenging task, though...
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03/01/2020
ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection
3D object detection is an essential task in autonomous driving and robot...
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09/16/2019
Perspective-Guided Convolution Networks for Crowd Counting
In this paper, we propose a novel perspective-guided convolution (PGC) f...
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08/09/2019
Recognizing Part Attributes with Insufficient Data
Recognizing attributes of objects and their parts is important to many c...
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07/31/2019
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition
Video Recognition has drawn great research interest and great progress h...
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12/12/2018
Semi-Supervised Learning for Face Sketch Synthesis in the Wild
Face sketch synthesis has made great progress in the past few years. Rec...
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10/26/2018
Fine-grained Video Categorization with Redundancy Reduction Attention
For fine-grained categorization tasks, videos could serve as a better so...
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10/19/2018
Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories
Existing 3D pose datasets of object categories are limited to generic ob...
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06/12/2018