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08/28/2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
Despite significant advances in deep learning, models often struggle to ...
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08/24/2023
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
Recent implicit neural representations have shown great results for nove...
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08/23/2023
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
Producing quality segmentation masks for images is a fundamental problem...
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06/20/2023
HomeRobot: Open-Vocabulary Mobile Manipulation
HomeRobot (noun): An affordable compliant robot that navigates homes and...
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06/16/2023
HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning
In this paper, we focus on the important yet understudied problem of Con...
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05/31/2023
Adaptive Coordination in Social Embodied Rearrangement
We present the task of "Social Rearrangement", consisting of cooperative...
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05/25/2023
HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning
A great deal of progress has been made in image captioning, driven by re...
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05/24/2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives
In this paper, we establish a connection between the parameterization of...
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05/17/2023
CLIP-GCD: Simple Language Guided Generalized Category Discovery
Generalized Category Discovery (GCD) requires a model to both classify k...
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05/07/2023
We Need to Talk: Identifying and Overcoming Communication-Critical Scenarios for Self-Driving
In this work, we consider the task of collision-free trajectory planning...
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04/21/2023
Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation
Using multiple spatial modalities has been proven helpful in improving s...
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04/12/2023
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
Recent works demonstrate a remarkable ability to customize text-to-image...
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03/28/2023
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
How well do reward functions learned with inverse reinforcement learning...
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03/19/2023
Trainable Projected Gradient Method for Robust Fine-tuning
Recent studies on transfer learning have shown that selectively fine-tun...
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03/14/2023
OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav
We present a single neural network architecture composed of task-agnosti...
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03/10/2023
Communication-Critical Planning via Multi-Agent Trajectory Exchange
This paper addresses the task of joint multi-agent perception and planni...
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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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11/20/2022
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation
In Vision-and-Language Navigation (VLN), researchers typically take an i...
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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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10/07/2022
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks
Adapting large-scale pretrained models to various downstream tasks via f...
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09/21/2022
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization
Federated Learning (FL) seeks to distribute model training across local ...
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09/15/2022
On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition
Recently vision transformers have been shown to be competitive with conv...
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08/29/2022
Open-Set Semi-Supervised Object Detection
Recent developments for Semi-Supervised Object Detection (SSOD) have sho...
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07/27/2022
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization
Our method studies the complex task of object-centric 3D understanding f...
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06/19/2022
Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors
With the recent development of Semi-Supervised Object Detection (SS-OD) ...
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05/09/2022
Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning
Significant progress has been made on visual captioning, largely relying...
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03/31/2022
A Closer Look at Rehearsal-Free Continual Learning
Continual learning describes a setting where machine learning models lea...
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03/03/2022
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation
This paper studies the complex task of simultaneous multi-object 3D reco...
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10/28/2021
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data
Moving beyond testing on in-distribution data works on Out-of-Distributi...
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10/27/2021
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition
It is well known that vision classification models suffer from poor cali...
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10/11/2021
Safe Model-Based Reinforcement Learning Using Robust Control Barrier Functions
Reinforcement Learning (RL) is effective in many scenarios. However, it ...
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07/01/2021
Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking
In this paper, we address bandwidth-limited and obstruction-prone collab...
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07/01/2021
Enhancing Multi-Robot Perception via Learned Data Association
In this paper, we address the multi-robot collaborative perception probl...
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06/28/2021
Striking the Right Balance: Recall Loss for Semantic Segmentation
Class imbalance is a fundamental problem in computer vision applications...
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06/28/2021
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
We introduce Habitat 2.0 (H2.0), a simulation platform for training virt...
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03/16/2021
LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation
3D point cloud segmentation is an important function that helps robots u...
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02/18/2021
Unbiased Teacher for Semi-Supervised Object Detection
Semi-supervised learning, i.e., training networks with both labeled and ...
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10/22/2020
Posterior Re-calibration for Imbalanced Datasets
Neural Networks can perform poorly when the training label distribution ...
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08/24/2020
3D for Free: Crossmodal Transfer Learning using HD Maps
3D object detection is a core perceptual challenge for robotics and auto...
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07/16/2020
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
Recent state-of-the-art semi-supervised learning (SSL) methods use a com...
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06/19/2020
Frustratingly Simple Domain Generalization via Image Stylization
Convolutional Neural Networks (CNNs) show impressive performance in the ...
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05/30/2020
When2com: Multi-Agent Perception via Communication Graph Grouping
While significant advances have been made for single-agent perception, m...
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03/21/2020
Who2com: Collaborative Perception via Learnable Handshake Communication
In this paper, we propose the problem of collaborative perception, where...
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02/26/2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Deep neural networks have attained remarkable performance when applied t...
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11/06/2019
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation
The fusion of multiple sensor modalities, especially through deep learni...
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07/30/2019
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
Although various image-based domain adaptation (DA) techniques have been...
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06/12/2019
Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification
Recent advances in semi-supervised learning methods rely on estimating c...
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06/01/2019
Learning to Generate Grounded Image Captions without Localization Supervision
When generating a sentence description for an image, it frequently remai...
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05/29/2019
Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings
Prior work has shown that the multi-relational embedding objective can b...
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05/26/2019
