Context Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark

The Map Everyone's Missing: LLM Knowledge Engineering in 2026 — First unified guide connecting RAG, Context Engineering, Harness Engineering, Skill Systems, Agent Memory, MCP, and Progressive Disclosure

ClawBox provides a guided setup experience and unified dashboard for OpenClaw-powered agents.

Comprehensive guide for Factory.ai droids and custom droids on coding standards, project management, testing methodology, and development workflows.

Synapsite is a cognitive interface architecture that fuses language models, agentic reasoning, and interactive web environments into a unified, adaptive system — enabling websites to perceive, respond, and autonomously guide users through goal-oriented experiences.

Install, enable, and manage agent skills across IDEs with one unified desktop app. Skills Manager brings together curated sources (skills.sh and SkillsMP), provides a guided install flow, and lets you toggle skills per-IDE with clear runtime feedback.

The LIC App is designed to support and guide LIC Agents and Officers by offering a unified platform to manage policies, clients, commissions,and team performance.The goal of the app is to simplify policy servicing,enhance communication with policyholders,and help agents work more efficiently through digital tools and automated processes.

NavisAI is an AI-powered travel intelligence aggregator built with RAG and agentic workflows. It unifies tourist attractions, hotels, tours, and local guides into a single intelligent search experience.

QA Companion Agent is an AI-powered knowledge companion for QA teams. It builds a unified knowledge base by extracting, summarizing, and retrieving insights from source code, design docs, bug reports, test execution data, RCA findings, and requirements—guiding teams to faster, smarter quality decisions.

This project evaluates agentic AI workflows for NVIDIA DRIVE OS to reduce the manual burden of triaging and fixing static analysis findings. We define metrics and a scoring rubric, curate historical test cases, and build an automated benchmark pipeline to compare workflows guiding a unified solution that improves compliance and safety.

Unified AI-assisted legal platform that simplifies the entire journey for users and lawyers. The system explains complex legal information in easy language and guides users step-by-step through what to do next. A chat-based drafting agent collects details from the user and prepares complete petitions or complaints without requiring legal expertise.