MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation.
|
ECCV |
2024 |
0 |
Better Call SAL: Towards Learning to Segment Anything in Lidar.
|
ECCV |
2024 |
0 |
The NeRFect Match: Exploring NeRF Features for Visual Localization.
|
ECCV |
2024 |
0 |
SeMoLi: What Moves Together Belongs Together.
|
CVPR |
2024 |
0 |
SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation.
|
CVPR |
2024 |
0 |
Simple Cues Lead to a Strong Multi-Object Tracker.
|
CVPR |
2023 |
0 |
Soft Augmentation for Image Classification.
|
CVPR |
2023 |
0 |
G-MSM: Unsupervised Multi-Shape Matching with Graph-Based Affinity Priors.
|
CVPR |
2023 |
0 |
Unifying Short and Long-Term Tracking with Graph Hierarchies.
|
CVPR |
2023 |
0 |
Lidar Panoptic Segmentation and Tracking without Bells and Whistles.
|
IROS |
2023 |
0 |
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation.
|
ICCV |
2023 |
0 |
The Group Loss++: A Deeper Look Into Group Loss for Deep Metric Learning.
|
TPAMI |
2023 |
0 |
Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles.
|
IEEE Robotics and Automation Letters |
2022 |
0 |
A Unified Framework for Implicit Sinkhorn Differentiation.
|
CVPR |
2022 |
5 |
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation.
|
CVPR |
2022 |
8 |
Forecasting from LiDAR via Future Object Detection.
|
CVPR |
2022 |
4 |
Is Geometry Enough for Matching in Visual Localization?
|
ECCV |
2022 |
2 |
PolarMOT: How Far Can Geometric Relations Take us in 3D Multi-object Tracking?
|
ECCV |
2022 |
1 |
Decoupling Identity and Visual Quality for Image and Video Anonymization.
|
ACCV |
2022 |
0 |
Text2Pos: Text-to-Point-Cloud Cross-Modal Localization.
|
CVPR |
2022 |
1 |
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment.
|
IROS |
2022 |
0 |
Opening up Open World Tracking.
|
CVPR |
2022 |
0 |
TrackFormer: Multi-Object Tracking with Transformers.
|
CVPR |
2022 |
0 |
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection.
|
CVPR |
2022 |
0 |
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?
|
NIPS/NeurIPS |
2022 |
0 |
Learning to Discover and Detect Objects.
|
NIPS/NeurIPS |
2022 |
0 |
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes.
|
NIPS/NeurIPS |
2022 |
0 |
Learn to Predict Sets Using Feed-Forward Neural Networks.
|
TPAMI |
2022 |
0 |
Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization.
|
CVPR |
2021 |
40 |
(Just) A Spoonful of Refinements Helps the Registration Error Go Down.
|
ICCV |
2021 |
0 |
4D Panoptic LiDAR Segmentation.
|
CVPR |
2021 |
17 |
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction.
|
ICCV |
2021 |
18 |
The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation.
|
ICCV |
2021 |
12 |
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?
|
ICCV |
2021 |
36 |
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning.
|
ICRA |
2021 |
9 |
EagerMOT: 3D Multi-Object Tracking via Sensor Fusion.
|
ICRA |
2021 |
57 |
Learning Intra-Batch Connections for Deep Metric Learning.
|
ICML |
2021 |
16 |
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences.
|
CVPR |
2021 |
0 |
Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation.
|
ACCV |
2020 |
41 |
STEm-Seg: Spatio-Temporal Embeddings for Instance Segmentation in Videos.
|
ECCV |
2020 |
112 |
Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation.
|
CVPR |
2020 |
28 |
Make One-Shot Video Object Segmentation Efficient Again.
|
NIPS/NeurIPS |
2020 |
20 |
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks.
|
CVPR |
2020 |
80 |
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport.
|
NIPS/NeurIPS |
2020 |
37 |
To Learn or Not to Learn: Visual Localization from Essential Matrices.
|
ICRA |
2020 |
0 |
The Group Loss for Deep Metric Learning.
|
ECCV |
2020 |
0 |
Learning a Neural Solver for Multiple Object Tracking.
|
CVPR |
2020 |
0 |
How to Train Your Deep Multi-Object Tracker.
|
CVPR |
2020 |
0 |
Understanding the Limitations of CNN-Based Absolute Camera Pose Regression.
|
CVPR |
2019 |
224 |
Tracking Without Bells and Whistles.
|
ICCV |
2019 |
539 |
Towards Generalizing Sensorimotor Control Across Weather Conditions.
|
IROS |
2019 |
3 |
Deep Appearance Maps.
|
ICCV |
2019 |
0 |
Video Object Segmentation without Temporal Information.
|
TPAMI |
2019 |
0 |
Lifting Layers: Analysis and Applications.
|
ECCV |
2018 |
6 |
Deep Depth from Focus.
|
ACCV |
2018 |
0 |
Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs.
|
CoRL |
2018 |
0 |
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs.
|
CVPR |
2018 |
0 |
One-Shot Video Object Segmentation.
|
CVPR |
2017 |
0 |
Image-Based Localization Using LSTMs for Structured Feature Correlation.
|
ICCV |
2017 |
0 |
Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors.
|
ICCV |
2015 |
9 |
Joint tracking and segmentation of multiple targets.
|
CVPR |
2015 |
194 |
Learning an Image-Based Motion Context for Multiple People Tracking.
|
CVPR |
2014 |
228 |
Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories.
|
CVPR |
2013 |
36 |
Branch-and-price global optimization for multi-view multi-target tracking.
|
CVPR |
2012 |
67 |
Outdoor human motion capture using inverse kinematics and von mises-fisher sampling.
|
ICCV |
2011 |
93 |