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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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06/16/2023
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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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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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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08/29/2022
Open-Set Semi-Supervised Object Detection
Recent developments for Semi-Supervised Object Detection (SSOD) have sho...
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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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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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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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10/22/2020
Posterior Re-calibration for Imbalanced Datasets
Neural Networks can perform poorly when the training label distribution ...
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07/10/2020
Image Captioning with Compositional Neural Module Networks
In image captioning where fluency is an important factor in evaluation, ...
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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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11/06/2019
