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09/20/2023
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation
Few-shot Medical Image Segmentation (FSMIS) is a more promising solution...
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09/18/2023
Unsupervised Open-Vocabulary Object Localization in Videos
In this paper, we show that recent advances in video representation lear...
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09/07/2023
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks
We present InstructDiffusion, a unifying and generic framework for align...
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09/01/2023
Object-Centric Multiple Object Tracking
Unsupervised object-centric learning methods allow the partitioning of s...
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08/31/2023
Coarse-to-Fine Amodal Segmentation with Shape Prior
Amodal object segmentation is a challenging task that involves segmentin...
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08/31/2023
Optical flow-based vascular respiratory motion compensation
This paper develops a new vascular respiratory motion compensation algor...
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08/28/2023
Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions
With the exponential surge in diverse multi-modal data, traditional uni-...
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08/18/2023
Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks
Backward propagation (BP) is widely used to compute the gradients in neu...
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08/16/2023
Distributionally Robust Circuit Design Optimization under Variation Shifts
Due to the significant process variations, designers have to optimize th...
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07/27/2023
PEANUT: A Human-AI Collaborative Tool for Annotating Audio-Visual Data
Audio-visual learning seeks to enhance the computer's multi-modal percep...
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07/26/2023
Reinforced Potential Field for Multi-Robot Motion Planning in Cluttered Environments
Motion planning is challenging for multiple robots in cluttered environm...
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07/16/2023
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
Achieving a reliable LiDAR-based object detector in autonomous driving i...
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07/10/2023
Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning
Coronary artery segmentation on coronary-computed tomography angiography...
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06/26/2023
Mutual Query Network for Multi-Modal Product Image Segmentation
Product image segmentation is vital in e-commerce. Most existing methods...
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06/19/2023
Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations
Discourse analysis is an important task because it models intrinsic sema...
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06/18/2023
Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective
Large language models (LLMs), like ChatGPT, have shown some human-like c...
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06/15/2023
Relation-Aware Diffusion Model for Controllable Poster Layout Generation
Poster layout is a crucial aspect of poster design. Prior methods primar...
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06/08/2023
A Gradient-based Approach for Online Robust Deep Neural Network Training with Noisy Labels
Learning with noisy labels is an important topic for scalable training i...
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06/06/2023
Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning
It has always been an important yet challenging problem to control langu...
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06/01/2023
Quantization-Aware and Tensor-Compressed Training of Transformers for Natural Language Understanding
Fine-tuned transformer models have shown superior performances in many n...
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05/30/2023
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction
Recent works have introduced Abstract Meaning Representation (AMR) for D...
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05/26/2023
Exploiting Abstract Meaning Representation for Open-Domain Question Answering
The Open-Domain Question Answering (ODQA) task involves retrieving and s...
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05/12/2023
Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations
Relational databases play an important role in this Big Data era. Howeve...
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05/04/2023
2x Faster Language Model Pre-training via Masked Structural Growth
Acceleration of large language model pre-training is a critical issue in...
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05/02/2023
FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework
Flight Trajectory Prediction (FTP) is an essential task in Air Traffic C...
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04/25/2023
STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation
Automated medical image segmentation can assist doctors to diagnose fast...
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04/16/2023
VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping
In argumentative writing, writers must brainstorm hierarchical writing g...
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04/14/2023
CollabCoder: A GPT-Powered Workflow for Collaborative Qualitative Analysis
The Collaborative Qualitative Analysis (CQA) process can be time-consumi...
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03/15/2023
DeepMIM: Deep Supervision for Masked Image Modeling
Deep supervision, which involves extra supervisions to the intermediate ...
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02/28/2023
Particle-based Online Bayesian Sampling
Online optimization has gained increasing interest due to its capability...
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02/25/2023
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design
Thermal issue is a major concern in 3D integrated circuit (IC) design. T...
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02/23/2023
Side Adapter Network for Open-Vocabulary Semantic Segmentation
This paper presents a new framework for open-vocabulary semantic segment...
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02/23/2023
PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks
Objective: In this paper, we introduce Physics-Informed Fourier Networks...
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02/17/2023
Tensorized Optical Multimodal Fusion Network
We propose the first tensorized optical multimodal fusion network archit...
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01/18/2023
ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training
A key performance bottleneck when training graph neural network (GNN) mo...
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01/05/2023
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token
Unlike language tasks, where the output space is usually limited to a se...
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01/03/2023
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models
Masked image modeling (MIM) performs strongly in pre-training large visi...
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12/07/2022
Policy Transfer via Enhanced Action Space
Though transfer learning is promising to increase the learning efficienc...
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12/05/2022
CBNet: A Plug-and-Play Network for Segmentation-based Scene Text Detection
Recently, segmentation-based methods are quite popular in scene text det...
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11/30/2022
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format
Diverse data formats and ontologies of task-oriented dialogue (TOD) data...
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11/21/2022
Exploring Discrete Diffusion Models for Image Captioning
The image captioning task is typically realized by an auto-regressive me...
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11/09/2022
Nonparametric Estimation of the Continuous Treatment Effect with Measurement Error
We identify the average dose-response function (ADRF) for a continuously...
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11/03/2022
Could Giant Pretrained Image Models Extract Universal Representations?
Frozen pretrained models have become a viable alternative to the pretrai...
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10/31/2022
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees
Interpreting the reasoning process from questions to answers poses a cha...
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10/28/2022
DORE: Document Ordered Relation Extraction based on Generative Framework
In recent years, there is a surge of generation-based information extrac...
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10/27/2022
Conversation Disentanglement with Bi-Level Contrastive Learning
Conversation disentanglement aims to group utterances into detached sess...
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10/23/2022
Self-supervised Amodal Video Object Segmentation
Amodal perception requires inferring the full shape of an object that is...
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10/23/2022
MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks
Electrical properties (EP), namely permittivity and electric conductivit...
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10/15/2022
Nonparametric Estimation of Mediation Effects with A General Treatment
To investigate causal mechanisms, causal mediation analysis decomposes t...
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10/01/2022