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Yang Miao

7 accepted papers

2026

EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmark

ICLR 2026poster

Most existing benchmarks for egocentric vision understanding focus primarily on daytime scenarios, overlooking the low-light conditions that are inevitable in real-world applications. To investigate this gap, we present EgoNight, the first comprehensive benchmark for nighttime egocentric vision, wit…

Cited by 0SourcecodeScholar
2025

Articulate3D: Holistic Understanding of 3D Scenes as Universal Scene Description

ICCV 2025poster

3D scene understanding is a long-standing challenge in computer vision and a key component in enabling mixed reality, wearable computing, and embodied AI. Providing a solution to these applications requires a multifaceted approach that covers scene-centric, object-centric, as well as interaction-cen…

Cited by 0SourcePDFScholar
2025

BS-Breath: Respiration Sensing with Cell-free Massive MIMO

ICASSP 2025accepted

This paper demonstrates the feasibility of respiration pattern estimation utilizing a communication-centric cell-free massive MIMO OFDM Base Station (BS). The sensing target is typically positioned near the User Equipment (UE), which transmits uplink pilots to the BS. Our results demonstrate the pot…

Cited by 0SourceScholar
2025

LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation

NeurIPS 2025poster

We propose LangHOPS, the first Multimodal Large Language Model (MLLM)-based framework for open-vocabulary object–part instance segmentation. Given an image, LangHOPS can jointly detect and segment hierarchical object and part instances from open-vocabulary candidate categories. Unlike prior approach…

Cited by 0SourceScholar
2024

SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs

ECCV 2024poster

"We introduce the task of localizing an input image within a multi-modal reference map represented by a collection of 3D scene graphs. These scene graphs comprise multiple modalities, including object-level point clouds, images, attributes, and relationships between objects, offering a lightweight a…

2019

Toeplitz Matrix Completion for Direction Finding Using a Modified Nested Linear Array

ICASSP 2019accepted

A modified nested linear array (MNLA) has been reported recently for a greater potential in increasing the degree-of-freedom. However, there exist some "holes" in the difference co-array, which results in missing "lags" and limited performance of direction-of-arrival (DOA) estimation. In order to ta…

Cited by 0SourceScholar