Junjiao Tian | DeepAI

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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...

0 Junjiao Tian, et al. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 10/22/2020

Posterior Re-calibration for Imbalanced Datasets

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

0 Junjiao Tian, et al. ∙

∙ 07/10/2020

Image Captioning with Compositional Neural Module Networks

In image captioning where fluency is an important factor in evaluation, ...

0 Junjiao Tian, et al. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

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