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09/11/2023
Learning the Geodesic Embedding with Graph Neural Networks
We present GeGnn, a learning-based method for computing the approximate ...
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05/23/2023
Few-shot Unified Question Answering: Tuning Models or Prompts?
Question-answering (QA) tasks often investigate specific question types,...
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10/29/2022
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM
This work proposes a method for using any generator network as the found...
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07/21/2022
BigIssue: A Realistic Bug Localization Benchmark
As machine learning tools progress, the inevitable question arises: How ...
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07/13/2022
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping
In this paper, we propose a genuine group-level contrastive visual repre...
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04/18/2022
End-to-end Dense Video Captioning as Sequence Generation
Dense video captioning aims to identify the events of interest in an inp...
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03/26/2022
Semantic Segmentation by Early Region Proxy
Typical vision backbones manipulate structured features. As a compromise...
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03/25/2022
A Conversational Paradigm for Program Synthesis
Program synthesis strives to generate a computer program as a solution t...
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03/15/2022
Long Document Summarization with Top-down and Bottom-up Inference
Text summarization aims to condense long documents and retain key inform...
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10/19/2021
CGNN: Traffic Classification with Graph Neural Network
Traffic classification associates packet streams with known application ...
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08/05/2021
Robust Transfer Learning with Pretrained Language Models through Adapters
Transfer learning with large pretrained transformer-based language model...
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07/23/2021
Human Pose Regression with Residual Log-likelihood Estimation
Heatmap-based methods dominate in the field of human pose estimation by ...
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07/16/2021
Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems
This paper studies the adaptive optimal stationary control of continuous...
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03/21/2021
PGT: A Progressive Method for Training Models on Long Videos
Convolutional video models have an order of magnitude larger computation...
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12/14/2020
TDAF: Top-Down Attention Framework for Vision Tasks
Human attention mechanisms often work in a top-down manner, yet it is no...
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12/04/2020
Understanding Guided Image Captioning Performance across Domains
Image captioning models generally lack the capability to take into accou...
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11/10/2020
Multimodal Pretraining for Dense Video Captioning
Learning specific hands-on skills such as cooking, car maintenance, and ...
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10/15/2020
Unsupervised Constrative Person Re-identification
Person re-identification (ReID) aims at searching the same identity pers...
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08/25/2020
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation
This paper studies the robustness aspect of reinforcement learning algor...
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08/12/2020
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation
Recent works of point clouds show that mulit-frame spatio-temporal model...
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06/15/2020
Learning Latent Space Energy-Based Prior Model
The generator model assumes that the observed example is generated by a ...
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06/12/2020
Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC
Learning energy-based model (EBM) requires MCMC sampling of the learned ...
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06/10/2020
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model
This paper proposes a joint training method to learn both the variationa...
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06/10/2020
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model
Multi-object tracking is a fundamental vision problem that has been stud...
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06/09/2020
Single Image Deraining via Scale-space Invariant Attention Neural Network
Image enhancement from degradation of rainy artifacts plays a critical r...
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05/30/2020
Complex Sequential Understanding through the Awareness of Spatial and Temporal Concepts
Understanding sequential information is a fundamental task for artificia...
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05/19/2020
Robust Policy Iteration for Continuous-time Linear Quadratic Regulation
This paper studies the robustness of policy iteration in the context of ...
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05/05/2020
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
This paper reviews the NTIRE 2020 challenge on video quality mapping (VQ...
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04/29/2020
Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube
Pretraining from unlabelled web videos has quickly become the de-facto m...
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04/16/2020
Asynchronous Interaction Aggregation for Action Detection
Understanding interaction is an essential part of video action detection...
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12/04/2019
Learning Deep Generative Models with Short Run Inference Dynamics
This paper studies the fundamental problem of learning deep generative m...
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10/07/2019
A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions
Instructional videos get high-traffic on video sharing platforms, and pr...
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09/11/2019
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
We present CoSQL, a corpus for building cross-domain, general-purpose da...
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09/04/2019
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering
Object detection plays an important role in current solutions to vision ...
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06/05/2019
SParC: Cross-Domain Semantic Parsing in Context
We present SParC, a dataset for cross-domainSemanticParsing inContext th...
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11/25/2018
Deep RNN Framework for Visual Sequential Applications
Extracting temporal and representation features efficiently plays a pivo...
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02/04/2018