Single-shot HDR is achieved by conditioning a video diffusion model on an LDR input to generate an exposure bracket and fusing the bracket with per-pixel weights from a lightweight UNet.
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7 Pith papers cite this work. Polarity classification is still indexing.
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2026 7representative citing papers
The paper defines translation-invariant calibrators and class-conditional affine calibrators under argmax- or order-preservation constraints for semantic segmentation, showing improved calibration without segmentation degradation on benchmarks.
VideoSearch-R1 achieves SOTA on VCMR across three datasets via iterative retrieval, latent-space soft query refinement, and GRPO training.
ECTraj delivers competitive Argoverse-2 multi-agent trajectory metrics via single-step consistency models that are ~10× faster than multi-step diffusion baselines.
ProCompNav builds a candidate pool from ambiguous queries then uses pool-splitting binary questions for disambiguation, improving success rate and shortening responses on CoIN-Bench and TextNav.
Privatar partitions VR avatar reconstruction via frequency-domain decomposition, keeping sensitive components local and offloading the rest with distribution-aware minimal perturbation noise, achieving 2.37x throughput with provable privacy.
ELEVATE is a framework and prototype for deploying LLM-powered 3D avatar tutors locally on consumer hardware with a three-stratum design separating interaction, execution, and governance layers.
citing papers explorer
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Single-Shot HDR Recovery via a Video Diffusion Prior
Single-shot HDR is achieved by conditioning a video diffusion model on an LDR input to generate an exposure bracket and fusing the bracket with per-pixel weights from a lightweight UNet.
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Rethinking Post-Hoc Calibration in Semantic Segmentation
The paper defines translation-invariant calibrators and class-conditional affine calibrators under argmax- or order-preservation constraints for semantic segmentation, showing improved calibration without segmentation degradation on benchmarks.
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VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement
VideoSearch-R1 achieves SOTA on VCMR across three datasets via iterative retrieval, latent-space soft query refinement, and GRPO training.
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ECTraj: Enhanced Consistency Training for Multi-Agent Trajectory Prediction
ECTraj delivers competitive Argoverse-2 multi-agent trajectory metrics via single-step consistency models that are ~10× faster than multi-step diffusion baselines.
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ProCompNav: Proactive Instance Navigation with Comparative Judgment for Ambiguous User Queries
ProCompNav builds a candidate pool from ambiguous queries then uses pool-splitting binary questions for disambiguation, improving success rate and shortening responses on CoIN-Bench and TextNav.
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Dual-Anchoring: Addressing State Drift in Vision-Language Navigation
Privatar partitions VR avatar reconstruction via frequency-domain decomposition, keeping sensitive components local and offloading the rest with distribution-aware minimal perturbation noise, achieving 2.37x throughput with provable privacy.
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ELEVATE: Designing Human-Centered GenAI Virtual Tutors for Scalable and Inclusive Education
ELEVATE is a framework and prototype for deploying LLM-powered 3D avatar tutors locally on consumer hardware with a three-stratum design separating interaction, execution, and governance layers.