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08/28/2023
SAM-PARSER: Fine-tuning SAM Efficiently by Parameter Space Reconstruction
Segment Anything Model (SAM) has received remarkable attention as it off...
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08/26/2023
Joint Gaze-Location and Gaze-Object Detection
This paper proposes an efficient and effective method for joint gaze loc...
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08/16/2023
Agglomerative Transformer for Human-Object Interaction Detection
We propose an agglomerative Transformer (AGER) that enables Transformer-...
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06/18/2023
Bid Optimization for Offsite Display Ad Campaigns on eCommerce
Online retailers often use third-party demand-side-platforms (DSPs) to c...
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05/31/2023
Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues
Reconstructing deformable tissues from endoscopic stereo videos in robot...
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05/01/2023
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
In semi-supervised medical image segmentation, there exist empirical mis...
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04/24/2023
Segment Anything in 3D with NeRFs
The Segment Anything Model (SAM) has demonstrated its effectiveness in s...
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04/13/2023
NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds
We present NeRFVS, a novel neural radiance fields (NeRF) based method to...
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03/30/2023
Masked Autoencoders as Image Processors
Transformers have shown significant effectiveness for various vision tas...
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03/14/2023
USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation
Seed area generation is usually the starting point of weakly supervised ...
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03/03/2023
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning
Inspired by the recent success of sequence modeling in RL and the use of...
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01/09/2023
Finding Lookalike Customers for E-Commerce Marketing
Customer-centric marketing campaigns generate a large portion of e-comme...
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12/29/2022
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery
We propose a novel teacher-student model for semi-supervised multi-organ...
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12/06/2022
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting
Multivariate time series forecasting (MTSF) is a fundamental problem in ...
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12/05/2022
A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS
Recently, spoken dialogue systems have been widely deployed in a variety...
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12/02/2022
Joint Open Knowledge Base Canonicalization and Linking
Open Information Extraction (OIE) methods extract a large number of OIE ...
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11/28/2022
Low-resource Personal Attribute Prediction from Conversation
Personal knowledge bases (PKBs) are crucial for a broad range of applica...
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11/01/2022
Self-supervised Character-to-Character Distillation
Handling complicated text images (e.g., irregular structures, low resolu...
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10/09/2022
Skeleton2Humanoid: Animating Simulated Characters for Physically-plausible Motion In-betweening
Human motion synthesis is a long-standing problem with various applicati...
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09/22/2022
Deep Learning Based Page Creation for Improving E-Commerce Organic Search Traffic
Organic search comprises a large portion of the total traffic for e-comm...
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09/12/2022
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification
In this paper, we propose TEDL, a two-stage learning approach to quantif...
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08/30/2022
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance
Ad relevance modeling plays a critical role in online advertising system...
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08/08/2022
Learning Entity Linking Features for Emerging Entities
Entity linking (EL) is the process of linking entity mentions appearing ...
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07/06/2022
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation
Shape information is a strong and valuable prior in segmenting organs in...
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07/04/2022
A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction
The rapid development of deep learning has made a great progress in segm...
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06/22/2022
Multi-View Clustering for Open Knowledge Base Canonicalization
Open information extraction (OIE) methods extract plenty of OIE triples ...
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06/04/2022
Video-based Human-Object Interaction Detection from Tubelet Tokens
We present a novel vision Transformer, named TUTOR, which is able to lea...
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05/24/2022
Community Question Answering Entity Linking via Leveraging Auxiliary Data
Community Question Answering (CQA) platforms contain plenty of CQA texts...
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04/21/2022
ChildPredictor: A Child Face Prediction Framework with Disentangled Learning
The appearances of children are inherited from their parents, which make...
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04/18/2022
Saliency in Augmented Reality
With the rapid development of multimedia technology, Augmented Reality (...
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03/22/2022
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
Recent advances in self-supervised contrastive learning yield good image...
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03/20/2022
Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows
This paper presents a new vision Transformer, named Iwin Transformer, wh...
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03/20/2022
End-to-End Human-Gaze-Target Detection with Transformers
In this paper, we propose an effective and efficient method for Human-Ga...
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03/18/2022
ContrastMask: Contrastive Learning to Segment Every Thing
Partially-supervised instance segmentation is a task which requests segm...
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01/04/2022
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data
The spleen is one of the most commonly injured solid organs in blunt abd...
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11/23/2021
Deep Residual Fourier Transformation for Single Image Deblurring
It has been a common practice to adopt the ResBlock, which learns the di...
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11/15/2021
iBOT: Image BERT Pre-Training with Online Tokenizer
The success of language Transformers is primarily attributed to the pret...
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09/26/2021
Entity Linking Meets Deep Learning: Techniques and Solutions
Entity linking (EL) is the process of linking entity mentions appearing ...
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08/25/2021
Inductive Matrix Completion Using Graph Autoencoder
Recently, the graph neural network (GNN) has shown great power in matrix...
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06/24/2021
Bidding via Clustering Ads Intentions: an Efficient Search Engine Marketing System for E-commerce
With the increasing scale of search engine marketing, designing an effic...
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06/05/2021
Making CNNs Interpretable by Building Dynamic Sequential Decision Forests with Top-down Hierarchy Learning
In this paper, we propose a generic model transfer scheme to make Convlu...
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06/04/2021
Glance-and-Gaze Vision Transformer
Recently, there emerges a series of vision Transformers, which show supe...
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05/31/2021
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction
Pancreatic ductal adenocarcinoma (PDAC) is the third most common cause o...
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03/05/2021
SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation
Hyperspectral imaging (HSI) unlocks the huge potential to a wide variety...
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11/28/2020
Batch Normalization with Enhanced Linear Transformation
Batch normalization (BN) is a fundamental unit in modern deep networks, ...
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10/29/2020
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples
Although deep neural networks have been a dominant method for many 2D vi...
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10/14/2020
AutoADR: Automatic Model Design for Ad Relevance
Large-scale pre-trained models have attracted extensive attention in the...
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10/12/2020
Shape-Texture Debiased Neural Network Training
Shape and texture are two prominent and complementary cues for recognizi...
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10/05/2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Contrastive learning has been adopted as a core method for unsupervised ...
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08/25/2020
