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Found 26 papers, 9 papers with code
Beyond Emotion: A Multi-Modal Dataset for Human Desire Understanding
Desire is a strong wish to do or have something, which involves not only a linguistic expression, but also underlying cognitive phenomena driving human feelings.
VM-BHINet:Vision Mamba Bimanual Hand Interaction Network for 3D Interacting Hand Mesh Recovery From a Single RGB Image
Understanding bimanual hand interactions is essential for realistic 3D pose and shape reconstruction.
Ranked #1 on
3D Interacting Hand Pose Estimation
on InterHand2.6M
3D Interacting Hand Pose Estimation
Computational Efficiency
+3
NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results
This paper presents an overview of NTIRE 2025 the First Challenge on Event-Based Image Deblurring, detailing the proposed methodologies and corresponding results.
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models
Membership Inference Attacks (MIAs) aim to predict whether a data sample belongs to the model's training set or not.
ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis
To address these challenges, we propose ResoFilter, a novel method that integrates models, data, and tasks to refine datasets.
FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning
This comparative analysis revealed that due to the limited information contained within client models from other clients during the initial stages of federated learning, more substantial constraints need to be imposed on the parameters of the adaptive algorithm.
Scalable Model Editing via Customized Expert Networks
Addressing the issues of hallucinations and outdated knowledge in large language models is critical for their reliable application.
Facility Location Games with Scaling Effects
Consequently, we characterize the conditions on scaling functions which ensure that agents have single-peaked preferences.
SVFAP: Self-supervised Video Facial Affect Perceiver
Video-based facial affect analysis has recently attracted increasing attention owing to its critical role in human-computer interaction.
Ranked #6 on
Dynamic Facial Expression Recognition
on FERV39k
Dynamic Facial Expression Recognition
Emotion Recognition
+2
An ADMM-Based Geometric Configuration Optimization in RSSD-Based Source Localization By UAVs with Spread Angle Constraint
Deploying multiple unmanned aerial vehicles (UAVs) to locate a signal-emitting source covers a wide range of military and civilian applications like rescue and target tracking.
Higher-Order Expander Graph Propagation
To address this issue, recent works have explored using expander graphs, which are highly-connected sparse graphs with low diameters, to perform message passing.
$R^3$-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL
While current tasks of converting natural language to SQL (NL2SQL) using Foundation Models have shown impressive achievements, adapting these approaches for converting natural language to Graph Query Language (NL2GQL) encounters hurdles due to the distinct nature of GQL compared to SQL, alongside the diverse forms of GQL.
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
Vertical Federated Learning (VFL) has emerged as a collaborative training paradigm that allows participants with different features of the same group of users to accomplish cooperative training without exposing their raw data or model parameters.
MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning
The first Multimodal Emotion Recognition Challenge (MER 2023) was successfully held at ACM Multimedia.
VMesh: Hybrid Volume-Mesh Representation for Efficient View Synthesis
With the emergence of neural radiance fields (NeRFs), view synthesis quality has reached an unprecedented level.
Unsupervised Seismic Footprint Removal With Physical Prior Augmented Deep Autoencoder
Seismic acquisition footprints appear as stably faint and dim structures and emerge fully spatially coherent, causing inevitable damage to useful signals during the suppression process.
Continuous Neural Algorithmic Planners
Neural algorithmic reasoning studies the problem of learning algorithms with neural networks, especially with graph architectures.
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest
We introduce ZOOMER, a system deployed at Taobao, the largest e-commerce platform in China, for training and serving GNN-based recommendations over web-scale graphs.
NeRFReN: Neural Radiance Fields with Reflections
Specifically, we propose to split a scene into transmitted and reflected components, and model the two components with separate neural radiance fields.
1.23-Tb/s per Wavelength Single-Waveguide On-Chip Optical Interconnect Enabled by Mode-division Multiplexing
We experimentally demonstrate a record net capacity per wavelength of 1. 23~Tb/s over a single silicon-on-insulator (SOI) multimode waveguide for optical interconnects employing on-chip mode-division multiplexing and 11$\times$11 multiple-in-multiple-out (MIMO) digital signal processing.
RWNE: A Scalable Random-Walk-Based Network Embedding Framework with Personalized Higher-Order Proximity Preserved
However, despite the success of current random-walk-based methods, most of them are usually not expressive enough to preserve the personalized higher-order proximity and lack a straightforward objective to theoretically articulate what and how network proximity is preserved.
A bi-diffusion based layer-wise sampling method for deep learning in large graphs
The Graph Convolutional Network (GCN) and its variants are powerful models for graph representation learning and have recently achieved great success on many graph-based applications.
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding
Heterogeneous information network (HIN) embedding has gained increasing interests recently.
