Search Results for author: Han-Pang Chiu

Found 14 papers, 4 papers with code

Uncertainty Propagation through Trained Deep Neural Networks Using Factor Graphs

no code implementations10 Dec 2023 Angel Daruna, Yunye Gong, Abhinav Rajvanshi, Han-Pang Chiu, Yi Yao

Our implementation balances the benefits of sampling and analytical propagation techniques, which we believe, is a key factor in achieving performance improvements.

Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement

no code implementations25 Oct 2023 Xingchen Zhao, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi, Han-Pang Chiu, Supun Samarasekera

Recent state-of-the-art (SOTA) UDA methods employ a teacher-student self-training approach, where a teacher model is used to generate pseudo-labels for the new data which in turn guide the training process of the student model.

Pseudo Label Semantic Segmentation +1

SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments

no code implementations8 Sep 2023 Abhinav Rajvanshi, Karan Sikka, Xiao Lin, Bhoram Lee, Han-Pang Chiu, Alvaro Velasquez

We present SayNav, a new approach that leverages human knowledge from Large Language Models (LLMs) for efficient generalization to complex navigation tasks in unknown large-scale environments.

Common Sense Reasoning Navigate

Cross-View Visual Geo-Localization for Outdoor Augmented Reality

no code implementations28 Mar 2023 Niluthpol Chowdhury Mithun, Kshitij Minhas, Han-Pang Chiu, Taragay Oskiper, Mikhail Sizintsev, Supun Samarasekera, Rakesh Kumar

Precise estimation of global orientation and location is critical to ensure a compelling outdoor Augmented Reality (AR) experience.

Pose Estimation

Incremental Learning with Differentiable Architecture and Forgetting Search

no code implementations19 May 2022 James Seale Smith, Zachary Seymour, Han-Pang Chiu

As progress is made on training machine learning models on incrementally expanding classification tasks (i. e., incremental learning), a next step is to translate this progress to industry expectations.

Classification Image Classification +2

GraphMapper: Efficient Visual Navigation by Scene Graph Generation

no code implementations17 May 2022 Zachary Seymour, Niluthpol Chowdhury Mithun, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

Understanding the geometric relationships between objects in a scene is a core capability in enabling both humans and autonomous agents to navigate in new environments.

Graph Generation Navigate +2

SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments

1 code implementation26 Aug 2021 Muhammad Zubair Irshad, Niluthpol Chowdhury Mithun, Zachary Seymour, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

This paper presents a novel approach for the Vision-and-Language Navigation (VLN) task in continuous 3D environments, which requires an autonomous agent to follow natural language instructions in unseen environments.

Vision and Language Navigation

Striking the Right Balance: Recall Loss for Semantic Segmentation

1 code implementation28 Jun 2021 Junjiao Tian, Niluthpol Mithun, Zach Seymour, Han-Pang Chiu, Zsolt Kira

There are two major drawbacks to these methods: 1) constantly up-weighting minority classes can introduce excessive false positives in semantic segmentation; 2) a minority class is not necessarily a hard class.

Semantic Segmentation

Recall Loss for Imbalanced Image Classification and Semantic Segmentation

1 code implementation1 Jan 2021 Junjiao Tian, Niluthpol Chowdhury Mithun, Zachary Seymour, Han-Pang Chiu, Zsolt Kira

Many works have proposed to weigh the standard cross entropy loss function with pre-computed weights based on class statistics such as the number of samples and class margins.

Classification General Classification +4

RGB2LIDAR: Towards Solving Large-Scale Cross-Modal Visual Localization

1 code implementation12 Sep 2020 Niluthpol Chowdhury Mithun, Karan Sikka, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

To enable large-scale evaluation, we introduce a new dataset containing over 550K pairs (covering 143 km^2 area) of RGB and aerial LIDAR depth images.

Visual Localization

Semantically-Aware Attentive Neural Embeddings for Image-based Visual Localization

no code implementations8 Dec 2018 Zachary Seymour, Karan Sikka, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

Furthermore, we present an extensive study demonstrating the contribution of each component of our model, showing $8$--$15\%$ and $4\%$ improvement from adding semantic information and our proposed attention module.

Deep Attention Image-Based Localization +1

Utilizing Semantic Visual Landmarks for Precise Vehicle Navigation

no code implementations2 Jan 2018 Varun Murali, Han-Pang Chiu, Supun Samarasekera, Rakesh, Kumar

Experimental evaluations validate that the injection of semantic information associated with visual landmarks using our approach achieves substantial improvements in accuracy on GPS-denied navigation solutions for large-scale urban scenarios

Semantic Segmentation

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