GAIA: Geometry-Adaptive Operator Learning for Forward and Inverse Problems
Focuses on GAIA: Geometry-Adaptive Operator Learning for Forward and Inverse Problems.
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Perception, multimodal systems, 3D, and visual generation. This page collects the latest briefings that match the topic so readers can follow one area without scanning the full feed.
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Focuses on GAIA: Geometry-Adaptive Operator Learning for Forward and Inverse Problems.
Focuses on SynLaD: Latent Diffusion for Generating Synthesizable Molecules Conditioned on 3D Pharmacophore Profiles.
Focuses on Group-invariant Coresets for Data-efficient Active Learning.
Focuses on GeoSearcher: Anchor-Guided Progressive Reasoning for Remote Sensing Visual Grounding with Process Supervision.
Focuses on PointSplat: Compact Gaussian Splatting via Human-Centric Prediction.
Focuses on SpheRoPE: Zero-Shot Optimization-Free 360 Panorama Generation with Spherical RoPE.
Focuses on Slope-Guided Mamba and Angular-Refined Transformer for Light Field Super-Resolution.
Focuses on LUNA: Learning Universal 3D Human Animation Beyond Skinning.
Focuses on Post-Training Pruning for Diffusion Transformers.
Focuses on Condensing Large-Scale Datasets Directly with Minimal Information Loss.
Focuses on FlexViT: A Flexible FPGA-based Accelerator for Edge Vision Transformers.
Focuses on MG-RWKV: Multi-Grained Context-Aware RWKV for Temporal Forgery Localization.
Focuses on Attend, Transform, or Silence: Operator-Level Visual Skipping for Efficient Multimodal LLM Inference.
Focuses on Geometry-Aware Cross-Height Channel Knowledge Map Prediction for UAV-Assisted Communications With Uncertainty-Guided 3D Sensing.
Focuses on Mirror-Fusion Attention for Reflection-Aware Self-Supervised Representation Learning.
Focuses on Rethinking Multi-Label Image Classification With Deep Learning: Taxonomy, Challenge, and Outlook.
Focuses on Towards High-Resolution Visual Perception via Hierarchical Entity Exploration.
Focuses on SpiralFovea: Input-Adaptive Foveated Tokenization as a Third Lever of Resource-Adaptive Inference.
Focuses on An Agentic AI Framework to Accelerate Scientific Discovery in Plant Phenotyping.
Focuses on Soft Mixture-of-Recursions: Going Deeper with Recursive Vision Transformers.
Focuses on Generative Lane Topology Reasoning via Autoregressive Model with Geometry Prior.
Focuses on Decoupled Guidance: Disentangling Subject and Context Pathways in Text-to-Image Personalization.
Focuses on MuSViT: A Foundation Vision Model for Sheet Music Representation.
Focuses on GKDT: General Keypoint Detection Transformer.
Focuses on ConRTF: Edge-Constrained Boundary Distribution Refinement for Realtime TransFormer Table Structure Recognition.
Focuses on SpikeLogBERT: Energy-Efficient Log Parsing Using Spiking Transformer Networks.
Focuses on Partial Skeleton Visibility for Action Recognition: A Constrained Field-of-View Approach.
Focuses on LUMA: Benchmarking Segmentation via a Lightweight Universal Mask Adapter.
Focuses on Mesh BDF: Barycentric Dominance Field for 3D Native Mesh Generation.
Focuses on ABot-M0.5: Unified Mobility-and-Manipulation World Action Model.
Focuses on JL1-CC&QA: Extending the JL1-CD Benchmark with Change Captioning and Question Answering.
Focuses on UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization.
Focuses on Active Spatial Guidance: Eliminating Injected Positional Mechanisms in Vision Transformers.
Focuses on Intrinsically Stable Spiking Neural Networks: Overcoming the Performance Barrier in the Absence of Batch Normalization.
Focuses on Semantic Occupancy Prediction with Dual Range-Voxel Representation.
Focuses on GEAR-Seg: A Grounded Explainable Agent for Reasoning Segmentation and Data Engine.