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09/16/2023
Universal Metric Learning with Parameter-Efficient Transfer Learning
A common practice in metric learning is to train and test an embedding m...
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06/01/2023
Task Relation-aware Continual User Representation Learning
User modeling, which learns to represent users into a low-dimensional re...
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05/31/2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
Vision and Language (VL) models offer an effective method for aligning r...
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05/18/2023
Learning low-dimensional dynamics from whole-brain data improves task capture
The neural dynamics underlying brain activity are critical to understand...
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05/15/2023
Event Camera-based Visual Odometry for Dynamic Motion Tracking of a Legged Robot Using Adaptive Time Surface
Our paper proposes a direct sparse visual odometry method that combines ...
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03/30/2023
Going Beyond Nouns With Vision Language Models Using Synthetic Data
Large-scale pre-trained Vision Language (VL) models have shown remar...
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03/26/2023
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting
Label-efficient and reliable semantic segmentation is essential for many...
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03/26/2023
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection
Building object detectors that are robust to domain shifts is critical f...
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01/17/2023
YeLan: Event Camera-Based 3D Human Pose Estimation for Technology-Mediated Dancing in Challenging Environments with Comprehensive Motion-to-Event Simulator
As a beloved sport worldwide, dancing is getting integrated into traditi...
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11/27/2022
Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation
While transformers have greatly boosted performance in semantic segmenta...
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11/23/2022
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
Computer vision models suffer from a phenomenon known as catastrophic fo...
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11/21/2022
Teaching Structured Vision Language Concepts to Vision Language Models
Vision and Language (VL) models have demonstrated remarkable zero-shot p...
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11/17/2022
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
Recently, large-scale pre-trained Vision-and-Language (VL) foundation mo...
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11/07/2022
Technical Report on Web-based Visual Corpus Construction for Visual Document Understanding
We present a dataset generator engine named Web-based Visual Corpus Buil...
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10/28/2022
Grafting Vision Transformers
Vision Transformers (ViTs) have recently become the state-of-the-art acr...
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10/24/2022
System Configuration and Navigation of a Guide Dog Robot: Toward Animal Guide Dog-Level Guiding Work
A robot guide dog has compelling advantages over animal guide dogs for i...
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10/07/2022
Integration of Riemannian Motion Policy and Whole-Body Control for Dynamic Legged Locomotion
In this paper, we present a novel Riemannian Motion Policy (RMP)flow-bas...
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05/06/2022
Emp-RFT: Empathetic Response Generation via Recognizing Feature Transitions between Utterances
Each utterance in multi-turn empathetic dialogues has features such as e...
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04/25/2022
Temporal Relevance Analysis for Video Action Models
In this paper, we provide a deep analysis of temporal modeling for actio...
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04/01/2022
A Unified Framework for Domain Adaptive Pose Estimation
While pose estimation is an important computer vision task, it requires ...
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03/22/2022
A Broad Study of Pre-training for Domain Generalization and Adaptation
Deep models must learn robust and transferable representations in order ...
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12/28/2021
Robust Convergence in Federated Learning through Label-wise Clustering
Non-IID dataset and heterogeneous environment of the local clients are r...
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10/28/2021
Learning to Jump from Pixels
Today's robotic quadruped systems can robustly walk over a diverse range...
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10/06/2021
Real-time Optimal Landing Control of the MIT Mini Cheetah
Quadrupedal landing is a complex process involving large impacts, elabor...
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08/26/2021
Learning Cross-modal Contrastive Features for Video Domain Adaptation
Learning transferable and domain adaptive feature representations from v...
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08/24/2021
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
Unsupervised domain adaptation (UDA) methods can dramatically improve ge...
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08/10/2021
BROS: A Layout-Aware Pre-trained Language Model for Understanding Documents
Understanding documents from their visual snapshots is an emerging probl...
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07/23/2021
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data
Progress in machine learning is typically measured by training and testi...
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07/21/2021
CogME: A Novel Evaluation Metric for Video Understanding Intelligence
Developing video understanding intelligence is quite challenging because...
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05/28/2021
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers
Semi-supervised learning (SSL) is an effective means to leverage unlabel...
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05/11/2021
Knowledge Transfer across Imaging Modalities Via Simultaneous Learning of Adaptive Autoencoders for High-Fidelity Mobile Robot Vision
Enabling mobile robots for solving challenging and diverse shape, textur...
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04/19/2021
The MIT Humanoid Robot: Design, Motion Planning, and Control For Acrobatic Behaviors
Demonstrating acrobatic behavior of a humanoid robot such as flips and s...
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01/27/2021
Predicting Participation in Cancer Screening Programs with Machine Learning
In this paper, we present machine learning models based on random forest...
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08/03/2020
Sharing Nim and Enumeration of Nim Characteristics
In this paper, we introduce and examine a variant of the game of Nim (Sh...
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08/01/2020
Self-supervised Visual Attribute Learning for Fashion Compatibility
Many self-supervised learning (SSL) methods have been successful in lear...
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06/07/2020
Unsupervised Differentiable Multi-aspect Network Embedding
Network embedding is an influential graph mining technique for represent...
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04/09/2020
Learning to Scale Multilingual Representations for Vision-Language Tasks
Current multilingual vision-language models either require a large numbe...
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03/18/2020
Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels
Existing unsupervised domain adaptation methods aim to transfer knowledg...
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02/19/2020
Universal Domain Adaptation through Self Supervision
Unsupervised domain adaptation methods traditionally assume that all sou...
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02/18/2020
Multi-Task Learning from Videos via Efficient Inter-Frame Attention
Prior work in multi-task learning has mainly focused on predictions on a...
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11/15/2019
Unsupervised Attributed Multiplex Network Embedding
Nodes in a multiplex network are connected by multiple types of relation...
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09/14/2019
Highly Dynamic Quadruped Locomotion via Whole-Body Impulse Control and Model Predictive Control
Dynamic legged locomotion is a challenging topic because of the lack of ...
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09/08/2019
MULE: Multimodal Universal Language Embedding
Existing vision-language methods typically support two languages at a ti...
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06/10/2019
Control of A High Performance Bipedal Robot using Viscoelastic Liquid Cooled Actuators
This paper describes the control, and evaluation of a new human-scaled b...
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06/05/2019
Multi-way Encoding for Robustness
Deep models are state-of-the-art for many computer vision tasks includin...
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06/04/2019
Collaborative Translational Metric Learning
Recently, matrix factorization-based recommendation methods have been cr...
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06/04/2019
Task-Guided Pair Embedding in Heterogeneous Network
Many real-world tasks solved by heterogeneous network embedding methods ...
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04/13/2019
Semi-supervised Domain Adaptation via Minimax Entropy
Contemporary domain adaptation methods are very effective at aligning fe...
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03/31/2019
Conversation Model Fine-Tuning for Classifying Client Utterances in Counseling Dialogues
The recent surge of text-based online counseling applications enables us...
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07/24/2018
