b'Zsolt Kira'

research

∙ 08/28/2023

LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration

Despite significant advances in deep learning, models often struggle to ...

0 Ran Liu, et al. ∙

research

∙ 08/24/2023

NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes

Recent implicit neural representations have shown great results for nove...

0 Muhammad Zubair Irshad, et al. ∙

research

∙ 08/23/2023

Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion

Producing quality segmentation masks for images is a fundamental problem...

0 Junjiao Tian, et al. ∙

research

∙ 06/20/2023

HomeRobot: Open-Vocabulary Mobile Manipulation

HomeRobot (noun): An affordable compliant robot that navigates homes and...

3 Sriram Yenamandra, et al. ∙

research

∙ 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...

0 Shaunak Halbe, et al. ∙

research

∙ 05/31/2023

Adaptive Coordination in Social Embodied Rearrangement

We present the task of "Social Rearrangement", consisting of cooperative...

0 Andrew Szot, et al. ∙

research

∙ 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...

0 Chia-Wen Kuo, et al. ∙

research

∙ 05/24/2023

Training Energy-Based Normalizing Flow with Score-Matching Objectives

In this paper, we establish a connection between the parameterization of...

0 Chen-Hao Chao, et al. ∙

research

∙ 05/17/2023

CLIP-GCD: Simple Language Guided Generalized Category Discovery

Generalized Category Discovery (GCD) requires a model to both classify k...

0 Rabah Ouldnoughi, et al. ∙

research

∙ 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...

0 Nathaniel Moore Glaser, et al. ∙

research

∙ 04/21/2023

Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation

Using multiple spatial modalities has been proven helpful in improving s...

0 Harsh Maheshwari, et al. ∙

research

∙ 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...

0 James Seale Smith, et al. ∙

research

∙ 03/28/2023

BC-IRL: Learning Generalizable Reward Functions from Demonstrations

How well do reward functions learned with inverse reinforcement learning...

0 Andrew Szot, et al. ∙

research

∙ 03/19/2023

Trainable Projected Gradient Method for Robust Fine-tuning

Recent studies on transfer learning have shown that selectively fine-tun...

0 Junjiao Tian, et al. ∙

research

∙ 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...

0 Karmesh Yadav, et al. ∙

research

∙ 03/10/2023

Communication-Critical Planning via Multi-Agent Trajectory Exchange

This paper addresses the task of joint multi-agent perception and planni...

0 Nathaniel Moore Glaser, et al. ∙

research

∙ 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...

0 James Seale Smith, et al. ∙

research

∙ 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...

0 Chia-Wen Kuo, et al. ∙

research

∙ 11/17/2022

ConStruct-VL: Data-Free Continual Structured VL Concepts Learning

Recently, large-scale pre-trained Vision-and-Language (VL) foundation mo...

0 James Seale Smith, et al. ∙

research

∙ 10/07/2022

Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks

Adapting large-scale pretrained models to various downstream tasks via f...

6 Yen-Cheng Liu, et al. ∙

research

∙ 09/21/2022

FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization

Federated Learning (FL) seeks to distribute model training across local ...

0 Junjiao Tian, et al. ∙

research

∙ 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...

0 Farrukh Rahman, et al. ∙

research

∙ 08/29/2022

Open-Set Semi-Supervised Object Detection

Recent developments for Semi-Supervised Object Detection (SSOD) have sho...

15 Yen-Cheng Liu, et al. ∙

research

∙ 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...

19 Muhammad Zubair Irshad, et al. ∙

research

∙ 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) ...

16 Yen-Cheng Liu, et al. ∙

research

∙ 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...

0 Chia-Wen Kuo, et al. ∙

research

∙ 03/31/2022

A Closer Look at Rehearsal-Free Continual Learning

Continual learning describes a setting where machine learning models lea...

0 James Seale Smith, et al. ∙

research

∙ 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...

5 Muhammad Zubair Irshad, et al. ∙

research

∙ 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...

0 Junjiao Tian, et al. ∙

research

∙ 10/27/2021

A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition

It is well known that vision classification models suffer from poor cali...

0 Junjiao Tian, et al. ∙

research

∙ 10/11/2021

Safe Model-Based Reinforcement Learning Using Robust Control Barrier Functions

Reinforcement Learning (RL) is effective in many scenarios. However, it ...

9 Yousef Emam, et al. ∙

research

∙ 07/01/2021

Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking

In this paper, we address bandwidth-limited and obstruction-prone collab...

0 Nathaniel Glaser, et al. ∙

research

∙ 07/01/2021

Enhancing Multi-Robot Perception via Learned Data Association

In this paper, we address the multi-robot collaborative perception probl...

0 Nathaniel Glaser, et al. ∙

research

∙ 06/28/2021

Striking the Right Balance: Recall Loss for Semantic Segmentation

Class imbalance is a fundamental problem in computer vision applications...

0 Junjiao Tian, et al. ∙

research

∙ 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...

25 Andrew Szot, et al. ∙

research

∙ 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...

0 Jingdao Chen, et al. ∙

research

∙ 02/18/2021

Unbiased Teacher for Semi-Supervised Object Detection

Semi-supervised learning, i.e., training networks with both labeled and ...

15 Yen-Cheng Liu, et al. ∙

research

∙ 10/22/2020

Posterior Re-calibration for Imbalanced Datasets

Neural Networks can perform poorly when the training label distribution ...

0 Junjiao Tian, et al. ∙

research

∙ 08/24/2020

3D for Free: Crossmodal Transfer Learning using HD Maps

3D object detection is a core perceptual challenge for robotics and auto...

0 Benjamin Wilson, et al. ∙

research

∙ 07/16/2020

FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning

Recent state-of-the-art semi-supervised learning (SSL) methods use a com...

10 Chia-Wen Kuo, et al. ∙

research

∙ 06/19/2020

Frustratingly Simple Domain Generalization via Image Stylization

Convolutional Neural Networks (CNNs) show impressive performance in the ...

5 Nathan Somavarapu, et al. ∙

research

∙ 05/30/2020

When2com: Multi-Agent Perception via Communication Graph Grouping

While significant advances have been made for single-agent perception, m...

8 Yen-Cheng Liu, et al. ∙

research

∙ 03/21/2020

Who2com: Collaborative Perception via Learnable Handshake Communication

In this paper, we propose the problem of collaborative perception, where...

10 Yen-Cheng Liu, et al. ∙

research

∙ 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...

20 Yen-Chang Hsu, et al. ∙

research

∙ 11/06/2019

UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation

The fusion of multiple sensor modalities, especially through deep learni...

0 Junjiao Tian, et al. ∙

research

∙ 07/30/2019

Temporal Attentive Alignment for Large-Scale Video Domain Adaptation

Although various image-based domain adaptation (DA) techniques have been...

0 Min-Hung Chen, et al. ∙

research

∙ 06/12/2019

Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification

Recent advances in semi-supervised learning methods rely on estimating c...

10 Chia-Wen Kuo, et al. ∙

research

∙ 06/01/2019

Learning to Generate Grounded Image Captions without Localization Supervision

When generating a sentence description for an image, it frequently remai...

0 Chih-Yao Ma, et al. ∙

research

∙ 05/29/2019

Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings

Prior work has shown that the multi-relational embedding objective can b...

0 Angel Daruna, et al. ∙

research

∙ 05/26/2019

Path Ranking with Attention to Type Hierarchies

The knowledge base completion problem is the problem of inferring missin...

0 Weiyu Liu, et al. ∙

Zsolt Kira

Featured Co-authors