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09/15/2023
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection
Few-shot object detection (FSOD) identifies objects from extremely few a...
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08/29/2023
Pose-Free Neural Radiance Fields via Implicit Pose Regularization
Pose-free neural radiance fields (NeRF) aim to train NeRF with unposed m...
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08/09/2023
WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields
Neural Radiance Field (NeRF) has shown impressive performance in novel v...
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05/31/2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
In the past decade, deep neural networks have achieved significant progr...
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03/14/2023
Graph Transformer GANs for Graph-Constrained House Generation
We present a novel graph Transformer generative adversarial network (GTG...
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03/11/2023
FAC: 3D Representation Learning via Foreground Aware Feature Contrast
Contrastive learning has recently demonstrated great potential for unsup...
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02/02/2023
Adaptive Siamese Tracking with a Compact Latent Network
In this paper, we provide an intuitive viewing to simplify the Siamese-b...
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11/23/2022
Evolutionary Generalized Zero-Shot Learning
An open problem on the path to artificial intelligence is generalization...
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11/19/2022
Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to recognize unseen composi...
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11/12/2022
Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis
We present a novel bipartite graph reasoning Generative Adversarial Netw...
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09/27/2022
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning
The pioneering method for unsupervised meta-learning, CACTUs, is a clust...
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07/30/2022
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds
LiDAR point clouds, which are usually scanned by rotating LiDAR sensors ...
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07/14/2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Most existing few-shot learning (FSL) methods require a large amount of ...
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07/08/2022
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection
This paper presents a Refinement Pyramid Transformer (RePFormer) for rob...
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04/25/2022
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization
Invariance to diverse types of image corruption, such as noise, blurring...
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03/27/2022
Audio-Adaptive Activity Recognition Across Video Domains
This paper strives for activity recognition under domain shift, for exam...
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03/22/2022
High-resolution Iterative Feedback Network for Camouflaged Object Detection
Spotting camouflaged objects that are visually assimilated into the back...
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03/06/2022
Highly Accurate Dichotomous Image Segmentation
We present a systematic study on a new task called dichotomous image seg...
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02/28/2022
Local and Global GANs with Semantic-Aware Upsampling for Image Generation
In this paper, we address the task of semantic-guided image generation. ...
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02/16/2022
Learning to Generalize across Domains on Single Test Samples
We strive to learn a model from a set of source domains that generalizes...
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02/15/2022
Pruning Networks with Cross-Layer Ranking k-Reciprocal Nearest Filters
This paper focuses on filter-level network pruning. A novel pruning meth...
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02/10/2022
Consistency and Diversity induced Human Motion Segmentation
Subspace clustering is a classical technique that has been widely used f...
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01/10/2022
Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond
Pedestrian detection is the cornerstone of many vision based application...
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12/28/2021
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference
Semi-supervised learning is a challenging problem which aims to construc...
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12/26/2021
Generative Kernel Continual learning
Kernel continual learning by <cit.> has recently emerged as a strong con...
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12/16/2021
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning
Zero-shot learning (ZSL) tackles the novel class recognition problem by ...
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12/15/2021
Hierarchical Variational Memory for Few-shot Learning Across Domains
Neural memory enables fast adaptation to new tasks with just a few train...
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12/09/2021
Specificity-Preserving Federated Learning for MR Image Reconstruction
Federated learning (FL) can be used to improve data privacy and efficien...
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12/05/2021
Global-Local Context Network for Person Search
Person search aims to jointly localize and identify a query person from ...
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11/10/2021
Multi-Task Neural Processes
Neural processes have recently emerged as a class of powerful neural lat...
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11/09/2021
Variational Multi-Task Learning with Gumbel-Softmax Priors
Multi-task learning aims to explore task relatedness to improve individu...
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10/15/2021
Multi-modal Aggregation Network for Fast MR Imaging
Magnetic resonance (MR) imaging is a commonly used scanning technique fo...
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10/02/2021
Light Field Saliency Detection with Dual Local Graph Learning andReciprocative Guidance
The application of light field data in salient object de-tection is beco...
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10/01/2021
Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection
Humans perform co-saliency detection by first summarizing the consensus ...
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09/15/2021
RGB-D Saliency Detection via Cascaded Mutual Information Minimization
Existing RGB-D saliency detection models do not explicitly encourage RGB...
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09/03/2021
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution
Super-resolving the Magnetic Resonance (MR) image of a target contrast u...
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08/30/2021
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation
Annotation burden has become one of the biggest barriers to semantic seg...
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08/20/2021
Discriminative Region-based Multi-Label Zero-Shot Learning
Multi-label zero-shot learning (ZSL) is a more realistic counter-part of...
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08/19/2021
Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction
While single-view 3D reconstruction has made significant progress benefi...
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08/18/2021
Specificity-preserving RGB-D Saliency Detection
RGB-D saliency detection has attracted increasing attention, due to its ...
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08/16/2021
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
Most polyp segmentation methods use CNNs as their backbone, leading to t...
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08/08/2021
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder
In this paper, we present an Intersection-over-Union (IoU) guided two-st...
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08/08/2021
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud
Most of the existing single-stage and two-stage 3D object detectors are ...
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08/06/2021
Full-Duplex Strategy for Video Object Segmentation
Appearance and motion are two important sources of information in video ...
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07/29/2021
FREE: Feature Refinement for Generalized Zero-Shot Learning
Generalized zero-shot learning (GZSL) has achieved significant progress,...
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07/24/2021
ASOD60K: Audio-Induced Salient Object Detection in Panoramic Videos
Exploring to what humans pay attention in dynamic panoramic scenes is us...
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07/15/2021
Variational Topic Inference for Chest X-Ray Report Generation
Automating report generation for medical imaging promises to reduce work...
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07/12/2021
Kernel Continual Learning
This paper introduces kernel continual learning, a simple but effective ...
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07/12/2021
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains
The need to address the scarcity of task-specific annotated data has res...
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07/10/2021
