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Found 9 papers, 2 papers with code
ESG Classification by Implicit Rule Learning via GPT-4
Environmental, social, and governance (ESG) factors are widely adopted as higher investment return indicators.
Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning
Recent advances in text-conditioned image generation diffusion models have begun paving the way for new opportunities in modern medical domain, in particular, generating Chest X-rays (CXRs) from diagnostic reports.
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
Semantic segmentation has innately relied on extensive pixel-level annotated data, leading to the emergence of unsupervised methodologies.
Ranked #1 on
Unsupervised Semantic Segmentation
on Potsdam-3
LISA: Localized Image Stylization with Audio via Implicit Neural Representation
We present a novel framework, Localized Image Stylization with Audio (LISA) which performs audio-driven localized image stylization.
ORA3D: Overlap Region Aware Multi-view 3D Object Detection
Current multi-view 3D object detection methods often fail to detect objects in the overlap region properly, and the networks' understanding of the scene is often limited to that of a monocular detection network.
Ranked #6 on
Robust Camera Only 3D Object Detection
on nuScenes-C
Sound-Guided Semantic Video Generation
The recent success in StyleGAN demonstrates that pre-trained StyleGAN latent space is useful for realistic video generation.
Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation
For autonomous quadruped robot navigation in various complex environments, a typical SOTA system is composed of four main modules -- mapper, global planner, local planner, and command-tracking controller -- in a hierarchical manner.
Low-level Pose Control of Tilting Multirotor for Wall Perching Tasks Using Reinforcement Learning
In this paper, a novel reinforcement learning-based method is proposed to control a tilting multirotor on real-world applications, which is the first attempt to apply reinforcement learning to a tilting multirotor.
Weakly Supervised Segmentation of Small Buildings With Point Labels
In this paper, we present a weakly supervised segmentation network for aerial/satellite images, separately considering small and large objects.
