Yen-Cheng Liu | DeepAI

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Featured Co-authors

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Peter Vajda
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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...

0 Harsh Maheshwari, 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 11/25/2021

Cross-Domain Object Detection via Adaptive Self-Training

We tackle the problem of domain adaptation in object detection, where th...

4 Yu-Jhe Li, 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. ∙

∙ 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. ∙

∙ 10/22/2020

Posterior Re-calibration for Imbalanced Datasets

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

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. ∙

∙ 04/08/2019

A Closer Look at Few-shot Classification

Few-shot classification aims to learn a classifier to recognize unseen c...

8 Wei-Yu Chen, et al. ∙

∙ 10/30/2018

Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines

Continual learning has received a great deal of attention recently with ...

0 Yen-Chang Hsu, et al. ∙

∙ 04/25/2018

Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification

Person re-identification (Re-ID) aims at recognizing the same person fro...

0 Yu-Jhe Li, et al. ∙

∙ 05/03/2017

Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation

While representation learning aims to derive interpretable features for ...

0 Yen-Cheng Liu, et al. ∙

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