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09/12/2023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation
Recent advancements in dense out-of-distribution (OOD) detection have pr...
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07/26/2023
Human-centric Scene Understanding for 3D Large-scale Scenarios
Human-centric scene understanding is significant for real-world applicat...
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07/18/2023
Class-relation Knowledge Distillation for Novel Class Discovery
We tackle the problem of novel class discovery, which aims to learn nove...
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07/05/2023
High-Dimensional Expected Shortfall Regression
The expected shortfall is defined as the average over the tail below (or...
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06/20/2023
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
Despite deep learning has achieved great success, it often relies on a l...
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03/28/2023
HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models
Human-Object Interaction (HOI) detection aims to localize human-object p...
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03/22/2023
Estimation of Complier Expected Shortfall Treatment Effects with a Binary Instrumental Variable
Estimating the causal effect of a treatment or exposure for a subpopulat...
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03/02/2023
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning
Human object interaction (HOI) detection plays a crucial role in human-c...
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12/14/2022
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Expert
Equipping predicted segmentation with calibrated uncertainty is essentia...
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12/11/2022
Robust Estimation and Inference for Expected Shortfall Regression with Many Regressors
Expected Shortfall (ES), also known as superquantile or Conditional Valu...
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10/31/2022
Generative Negative Text Replay for Continual Vision-Language Pretraining
Vision-language pre-training (VLP) has attracted increasing attention re...
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10/23/2022
Scalable estimation and inference for censored quantile regression process
Censored quantile regression (CQR) has become a valuable tool to study t...
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09/28/2022
CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention
Contrastive Language-Image Pre-training (CLIP) has been shown to learn v...
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08/19/2022
Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition
In this paper, we study the problem of one-shot skeleton-based action re...
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07/07/2022
A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion
Multi-modal medical image completion has been extensively applied to all...
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06/24/2022
Mutual Information-guided Knowledge Transfer for Novel Class Discovery
We tackle the novel class discovery problem, aiming to discover novel cl...
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06/03/2022
FishGym: A High-Performance Physics-based Simulation Framework for Underwater Robot Learning
Bionic underwater robots have demonstrated their superiority in many app...
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04/17/2022
Automatic spinal curvature measurement on ultrasound spine images using Faster R-CNN
Ultrasound spine imaging technique has been applied to the assessment of...
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04/08/2022
General Incremental Learning with Domain-aware Categorical Representations
Continual learning is an important problem for achieving human-level int...
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03/23/2022
Treatment Effect Estimation with Efficient Data Aggregation
Data aggregation, also known as meta analysis, is widely used to synthes...
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03/10/2022
Intention-aware Feature Propagation Network for Interactive Segmentation
We aim to tackle the problem of point-based interactive segmentation, in...
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02/03/2022
Weakly Supervised Nuclei Segmentation via Instance Learning
Weakly supervised nuclei segmentation is a critical problem for patholog...
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11/01/2021
Posterior Inference for Quantile Regression: Adaptation to Sparsity
Quantile regression is a powerful data analysis tool that accommodates h...
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09/22/2021
KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation
Self-supervised vision-and-language pretraining (VLP) aims to learn tran...
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09/09/2021
Single Image 3D Object Estimation with Primitive Graph Networks
Reconstructing 3D object from a single image (RGB or depth) is a fundame...
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08/10/2021
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition
The task of skeleton-based action recognition remains a core challenge i...
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07/21/2021
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation
Learning segmentation from noisy labels is an important task for medical...
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05/11/2021
Learning Implicit Temporal Alignment for Few-shot Video Classification
Few-shot video classification aims to learn new video categories with on...
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04/27/2021
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model
Weakly supervised segmentation is an important problem in medical image ...
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04/01/2021
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
Scene graph generation is an important visual understanding task with a ...
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03/31/2021
DER: Dynamically Expandable Representation for Class Incremental Learning
We address the problem of class incremental learning, which is a core st...
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03/30/2021
Distribution Alignment: A Unified Framework for Long-tail Visual Recognition
Despite the recent success of deep neural networks, it remains challengi...
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03/29/2021
GNeRF: GAN-based Neural Radiance Field without Posed Camera
We introduce GNeRF, a framework to marry Generative Adversarial Networks...
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03/24/2021
Relation-aware Instance Refinement for Weakly Supervised Visual Grounding
Visual grounding, which aims to build a correspondence between visual ob...
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12/09/2020
Smoothed Quantile Regression with Large-Scale Inference
Quantile regression is a powerful tool for learning the relationship bet...
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08/25/2020
Confidence-aware Adversarial Learning for Self-supervised Semantic Matching
In this paper, we aim to address the challenging task of semantic matchi...
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08/13/2020
LGNN: a Context-aware Line Segment Detector
We present a novel real-time line segment detection scheme called Line G...
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07/21/2020
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images
Semi-supervised learning has attracted much attention in medical image s...
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07/13/2020
Part-aware Prototype Network for Few-shot Semantic Segmentation
Few-shot semantic segmentation aims to learn to segment new object class...
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03/03/2020
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning
Despite recent success of deep network-based Reinforcement Learning (RL)...
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12/09/2019
Learning a Layout Transfer Network for Context Aware Object Detection
We present a context aware object detection method based on a retrieve-a...
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11/20/2019
Learning Cross-modal Context Graph for Visual Grounding
Visual grounding is a ubiquitous building block in many vision-language ...
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09/18/2019
Pose-aware Multi-level Feature Network for Human Object Interaction Detection
Reasoning human object interactions is a core problem in human-centric s...
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09/08/2019
Dynamic Context Correspondence Network for Semantic Alignment
Establishing semantic correspondence is a core problem in computer visio...
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05/28/2019
LatentGNN: Learning Efficient Non-local Relations for Visual Recognition
Capturing long-range dependencies in feature representations is crucial ...
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05/14/2019
Fixed-price Diffusion Mechanism Design
We consider a fixed-price mechanism design setting where a seller sells ...
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01/15/2019
Learning Autonomous Exploration and Mapping with Semantic Vision
We address the problem of autonomous exploration and mapping for a mobil...
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05/18/2018
SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text
Linguistic style is an essential part of written communication, with the...
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05/15/2018
Simplifying Sentences with Sequence to Sequence Models
We simplify sentences with an attentive neural network sequence to seque...
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04/17/2018