Matryoshka: Exploiting the Over-Parametrization of Deep Learning Models for Covert Data Transmission Human-Centric Transformer for Domain Adaptive Action Recognition On the Distillation of Stories for Transferring Narrative Arcs in Collections of Independent Media VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model Robust Multimodal Learning With Missing Modalities via Parameter-Efficient Adaptation FocalPose++: Focal Length and Object Pose Estimation via Render and Compare Sparse Non-Local CRF With Applications Intelligent Bionic Polarization Orientation Method Using Biological Neuron Model for Harsh Conditions Continuous-Time Object Segmentation Using High Temporal Resolution Event Camera Competing for Pixels: A Self-Play Algorithm for Weakly-Supervised Semantic Segmentation Probing Synergistic High-Order Interaction for Multi-Modal Image Fusion Pixel is All You Need: Adversarial Spatio-Temporal Ensemble Active Learning for Salient Object Detection Towards Data-And Knowledge-Driven AI: A Survey on Neuro-Symbolic Computing GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small VATr++: Choose Your Words Wisely for Handwritten Text Generation OffsetNet: Towards Efficient Multiple Object Tracking, Detection, and Segmentation Diffusion Models for Imperceptible and Transferable Adversarial Attack PSRR-MaxpoolNMS++: Fast Non-Maximum Suppression With Discretization and Pooling ImFace++: A Sophisticated Nonlinear 3D Morphable Face Model With Implicit Neural Representations Evolved Hierarchical Masking for Self-Supervised Learning Universal Fingerprint Generation: Controllable Diffusion Model With Multimodal Conditions Prompt Tuning of Deep Neural Networks for Speaker-Adaptive Visual Speech Recognition Anti-Forgetting Adaptation for Unsupervised Person Re-Identification Noise Self-Regression: A New Learning Paradigm to Enhance Low-Light Images Without Task-Related Data Language-Inspired Relation Transfer for Few-Shot Class-Incremental Learning Ensemble-Enhanced Semi-Supervised Learning With Optimized Graph Construction for High-Dimensional Data Illuminating Salient Contributions in Neuron Activation With Attribution Equilibrium Disentangling Before Composing: Learning Invariant Disentangled Features for Compositional Zero-Shot Learning FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations Recent Advances in Optimal Transport for Machine Learning Efficient Analysis of Overdispersed Data Using an Accurate Computation of the Dirichlet Multinomial Distribution 360SFUDA++: Towards Source-Free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes Multi-Modality Multi-Attribute Contrastive Pre-Training for Image Aesthetics Computing Adaptive Learning for Dynamic Features and Noisy Labels Minimum Latency Deep Online Video Stabilization and Its Extensions The Decoupling Concept Bottleneck Model Event-Enhanced Snapshot Compressive Videography at 10K FPS FSD V2: Improving Fully Sparse 3D Object Detection With Virtual Voxels Estimating Information Theoretic Measures via Multidimensional Gaussianization Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics Online Learning Under a Separable Stochastic Approximation Framework Unsupervised Degradation Representation Learning for Unpaired Restoration of Images and Point Clouds Adaptive Neural Message Passing for Inductive Learning on Hypergraphs EventHDR: From Event to High-Speed HDR Videos and Beyond PSVMA+: Exploring Multi-Granularity Semantic-Visual Adaption for Generalized Zero-Shot Learning Stabilizing and Accelerating Federated Learning on Heterogeneous Data With Partial Client Participation Weakly Supervised Monocular 3D Object Detection by Spatial-Temporal View Consistency Prototype-Guided Attention Distillation for Discriminative Person Search