Search Results for author: Jackson Cothren

Found 8 papers, 2 papers with code

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation

no code implementations27 Nov 2024 Trong-Thuan Nguyen, Pha Nguyen, Jackson Cothren, Alper Yilmaz, Khoa Luu

To this end, we propose Multimodal LLMs on a Scene HyperGraph (HyperGLM), promoting reasoning about multi-way interactions and higher-order relationships.

Graph Generation Question Answering +4

DINTR: Tracking via Diffusion-based Interpolation

no code implementations14 Oct 2024 Pha Nguyen, Ngan Le, Jackson Cothren, Alper Yilmaz, Khoa Luu

However, existing diffusion models rely on extensive and unnecessary mapping to a Gaussian noise domain, which can be replaced by a more efficient and stable interpolation process.

Object Object Tracking

AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation

1 code implementation12 Jun 2023 Kashu Yamazaki, Taisei Hanyu, Minh Tran, Adrian de Luis, Roy McCann, Haitao Liao, Chase Rainwater, Meredith Adkins, Jackson Cothren, Ngan Le

Aerial Image Segmentation is a top-down perspective semantic segmentation and has several challenging characteristics such as strong imbalance in the foreground-background distribution, complex background, intra-class heterogeneity, inter-class homogeneity, and tiny objects.

Decoder Image Segmentation +2

CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation

no code implementations14 Apr 2023 Thanh-Dat Truong, Chi Nhan Duong, Ashley Dowling, Son Lam Phung, Jackson Cothren, Khoa Luu

First, a novel geometry-based constraint to cross-view adaptation is introduced based on the geometry correlation between views.

Autonomous Driving Scene Segmentation +1

FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding

1 code implementation CVPR 2023 Thanh-Dat Truong, Ngan Le, Bhiksha Raj, Jackson Cothren, Khoa Luu

Although Domain Adaptation in Semantic Scene Segmentation has shown impressive improvement in recent years, the fairness concerns in the domain adaptation have yet to be well defined and addressed.

Autonomous Driving Domain Adaptation +4

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