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Found 19 papers, 5 papers with code
A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks
We introduce a large-scale annotated mechanical components benchmark for classification and retrieval tasks named MechanicalComponents Benchmark (MCB): a large-scale dataset of 3D objects of mechanical components.
CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection
Recent LiDAR-based 3D Object Detection (3DOD) methods show promising results, but they often do not generalize well to target domains outside the source (or training) data distribution.
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation
Additionally, Parrot employs a joint optimization approach for the T2I model and the prompt expansion network, facilitating the generation of quality-aware text prompts, thus further enhancing the final image quality.
MTVG : Multi-text Video Generation with Text-to-Video Models
Concerning the characteristics of video, multi-text conditioning incorporating sequential events is necessary for next-step video generation.
Clustering-based Image-Text Graph Matching for Domain Generalization
However, they use pivot embedding in global manner (i. e., aligning an image embedding with sentence-level text embedding), not fully utilizing the semantic cues of given text description.
The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion
Hence, we propose The Power of Sound (TPoS) model to incorporate audio input that includes both changeable temporal semantics and magnitude.
Soundini: Sound-Guided Diffusion for Natural Video Editing
We propose a method for adding sound-guided visual effects to specific regions of videos with a zero-shot setting.
Event Fusion Photometric Stereo Network
We present a novel method to estimate the surface normal of an object in an ambient light environment using RGB and event cameras.
Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems
This framework adaptively determines high-order connectivity to aggregate users and items using dual policy learning.
FPANet: Frequency-based Video Demoireing using Frame-level Post Alignment
Interference between overlapping gird patterns creates moire patterns, degrading the visual quality of an image that captures a screen of a digital display device by an ordinary digital camera.
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.
Robust Sound-Guided Image Manipulation
Our extensive experiments show that our sound-guided image manipulation approach produces semantically and visually more plausible manipulation results than the state-of-the-art text and sound-guided image manipulation methods, which are further confirmed by our human evaluations.
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.
Sound-Guided Semantic Image Manipulation
Our audio encoder is trained to produce a latent representation from an audio input, which is forced to be aligned with image and text representations in the multi-modal embedding space.
Egocentric View Hand Action Recognition by Leveraging Hand Surface and Hand Grasp Type
We introduce a multi-stage framework that uses mean curvature on a hand surface and focuses on learning interaction between hand and object by analyzing hand grasp type for hand action recognition in egocentric videos.
Latent Transformations for Object View Points Synthesis
We propose a fully-convolutional conditional generative model, the latent transformation neural network (LTNN), capable of view synthesis using a light-weight neural network suited for real-time applications.
Learning Hand Articulations by Hallucinating Heat Distribution
As an additional modality to depth data, we present a function of geometric properties on the surface of the hand described by heat diffusion.
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
The ability to perform pixel-wise semantic segmentation in real-time is of paramount importance in mobile applications.
Ranked #10 on
Semantic Segmentation
on ScanNetV2
