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08/23/2023
RankMixup: Ranking-Based Mixup Training for Network Calibration
Network calibration aims to accurately estimate the level of confidences...
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08/23/2023
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration
We address the problem of network calibration adjusting miscalibrated co...
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08/23/2023
Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification
We present a novel unsupervised domain adaption method for person re-ide...
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10/13/2022
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation
We address the problem of incremental semantic segmentation (ISS) recogn...
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10/12/2022
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation
Class-incremental semantic segmentation (CISS) labels each pixel of an i...
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07/22/2022
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation
We present a novel unsupervised domain adaptation method for semantic se...
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07/21/2022
OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search
We address the task of person search, that is, localizing and re-identif...
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08/20/2021
Video-based Person Re-identification with Spatial and Temporal Memory Networks
Video-based person re-identification (reID) aims to retrieve person vide...
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08/17/2021
Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences
We address the problem of visible-infrared person re-identification (VI-...
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08/16/2021
Distance-aware Quantization
We address the problem of network quantization, that is, reducing bit-wi...
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08/14/2021
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation
We address the problem of generalized zero-shot semantic segmentation (G...
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04/02/2021
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation
We address the problem of weakly-supervised semantic segmentation (WSSS)...
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04/02/2021
Network Quantization with Element-wise Gradient Scaling
Network quantization aims at reducing bit-widths of weights and/or activ...
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04/02/2021
HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object Detection
We address the problem of 3D object detection, that is, estimating 3D ob...
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07/15/2020
Learning with Privileged Information for Efficient Image Super-Resolution
Convolutional neural networks (CNNs) have allowed remarkable advances in...
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03/30/2020
Learning Memory-guided Normality for Anomaly Detection
We address the problem of anomaly detection, that is, detecting anomalou...
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11/29/2019
Learning Semantic Correspondence Exploiting an Object-level Prior
We address the problem of semantic correspondence, that is, establishing...
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11/21/2019
Relation Network for Person Re-identification
Person re-identification (reID) aims at retrieving an image of the perso...
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10/17/2019
Deformable Kernel Networks for Joint Image Filtering
Joint image filters are used to transfer structural details from a guida...
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09/16/2019
Temporally Consistent Depth Prediction with Flow-Guided Memory Units
Predicting depth from a monocular video sequence is an important task fo...
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04/03/2019
SFNet: Learning Object-aware Semantic Correspondence
We address the problem of semantic correspondence, that is, establishing...
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03/27/2019
Deformable kernel networks for guided depth map upsampling
We address the problem of upsampling a low-resolution (LR) depth map usi...
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05/11/2017
SCNet: Learning Semantic Correspondence
This paper addresses the problem of establishing semantic correspondence...
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03/21/2017
Proposal Flow: Semantic Correspondences from Object Proposals
Finding image correspondences remains a challenging problem in the prese...
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02/03/2017
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
We present a descriptor, called fully convolutional self-similarity (FCS...
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04/27/2016
DASC: Robust Dense Descriptor for Multi-modal and Multi-spectral Correspondence Estimation
Establishing dense correspondences between multiple images is a fundamen...
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04/26/2016