Search Results for author:
Found 14 papers, 5 papers with code
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization
Experiments show that SeFAR achieves state-of-the-art performance on two FAR datasets, FineGym and FineDiving, across various data scopes.
Towards End-to-End Neuromorphic Voxel-based 3D Object Reconstruction Without Physical Priors
Neuromorphic cameras, also known as event cameras, are asynchronous brightness-change sensors that can capture extremely fast motion without suffering from motion blur, making them particularly promising for 3D reconstruction in extreme environments.
Ranked #1 on
Single-View 3D Reconstruction
on SynthEVox3D-Tiny
OmniCreator: Self-Supervised Unified Generation with Universal Editing
On the other hand, when presented with a text prompt only, OmniCreator becomes generative, producing high-quality video as a result of the semantic correspondence learned.
Beyond Gaussians: Fast and High-Fidelity 3D Splatting with Linear Kernels
Recent advancements in 3D Gaussian Splatting (3DGS) have substantially improved novel view synthesis, enabling high-quality reconstruction and real-time rendering.
Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing
Remote sensing (RS) involves the acquisition of data about objects or areas from a distance, primarily to monitor environmental changes, manage resources, and support planning and disaster response.
Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Grounding
To the best of our knowledge, this marks the first successful attempt of DER in VTG.
Efficient Multi-disparity Transformer for Light Field Image Super-resolution
This paper presents the Multi-scale Disparity Transformer (MDT), a novel Transformer tailored for light field image super-resolution (LFSR) that addresses the issues of computational redundancy and disparity entanglement caused by the indiscriminate processing of sub-aperture images inherent in conventional methods.
FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs
Dynamic Facial Expression Recognition (DFER) is crucial for understanding human behavior.
Ranked #1 on
Dynamic Facial Expression Recognition
on MAFW
Dynamic Facial Expression Recognition
Facial Expression Recognition
+3
GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Prompting
The increasing prominence of e-commerce has underscored the importance of Virtual Try-On (VTON).
CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning
Zero-shot learning (ZSL) enables the recognition of novel classes by leveraging semantic knowledge transfer from known to unknown categories.
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web
To answer the questions, we leverage the power of Large Language Models (LLMs) and introduce the first-ever LLM-enhanced framework that integrates the knowledge of textual modality into urban imagery profiling, named LLM-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining (UrbanCLIP).
Dense Voxel 3D Reconstruction Using a Monocular Event Camera
Our preliminary results demonstrate that the proposed method can produce visually distinguishable dense 3D reconstructions directly without requiring pipelines like those used by existing methods.
Ranked #2 on
Single-View 3D Reconstruction
on SynthEVox3D-Tiny
Advancements in Repetitive Action Counting: Joint-Based PoseRAC Model With Improved Performance
Repetitive counting (RepCount) is critical in various applications, such as fitness tracking and rehabilitation.
Attention-Based Sensor Fusion for Human Activity Recognition Using IMU Signals
Secondly, an attention-based fusion mechanism is developed to learn the importance of sensors at different body locations and to generate an attentive feature representation.
