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Channel-wise Vector Quantization
Announce Type: replace Abstract: We present Channel-wise Vector Quantization (CVQ), a novel image tokenization paradigm that replaces patch-wise tokens with channel-wise tokens. Unlike conventional vector quantization, which assigns a discrete token to each patch feature vector, CVQ quantizes each channel of the feature map. This formulation represents an image as discrete levels of visual details, rather than as a grid of spatial patches.
ChWDTA: Channel-wise Wavelet-Domain Transformer Attention and Entropy Modeling for Learned Image Compression
arXiv:2606.00111v1 Announce Type: cross Abstract: State-of-the-art learned image compression (LIC) schemes are increasingly based on hybrid CNN-transformer architectures. To further improve rate-distortion performance, we introduce channel-wise wavelet transforms into both the transformer and entropy-coding components. First, we propose a channel-wise wavelet-domain transformer attention (ChWDTA) mechanism.
Fintech Wise's shares fall on Belgian money-laundering investigation
Fintech Wise's shares fall on Belgian money-laundering investigation PARIS, June 1 : Money transfer company Wise's London-listed shares fell by more than 10 per cent on Monday on news that the Brussels Public Prosecutor's Office is investigating its European entity in cases the prosecutor said reportedly involve more than half a billion euros ($582.5 million) in suspicious transactions. Authorities in Europe are trying to crack down on illicit finance, following the collapse of Wirecard and...
WISE: A Multimodal Search Engine for Visual Scenes, Audio, Objects, Faces, Speech, and Metadata
arXiv:2602.12819v2 Announce Type: replace Abstract: In this paper, we present WISE, an open-source audiovisual search engine which integrates a range of multimodal retrieval capabilities into a single, practical tool accessible to users without machine learning expertise. WISE supports natural-language and reverse-image queries at both the scene level (e.g. empty street) and object level (e.g. horse) across images and videos; face-based search for specific individuals; audio retrieval of...
Wise under Belgian investigation over alleged money laundering control failures
Belgian investigators are examining whether the firm's services were used by criminal groups to launder proceeds from suspected fraud, corruption and drug trafficking. Belgian prosecutors are in the advanced stages of an investigation into money transfer company Wise over suspicions that criminal groups used its accounts for money laundering, authorities said on Monday. The Brussels prosecutors' office said it launched the probe last year after the British firm's name repeatedly appeared in...
TARPO: Token-Wise Latent-Explicit Reasoning via Action-Routing Policy Optimization
Announce Type: new Abstract: Latent reasoning has emerged as a promising alternative to discrete Chain-of-Thought (CoT) in large language models (LLMs), enabling more expressive reasoning by operating over continuous representations. However, the inherently deterministic nature of continuous representations limits policy exploration in reinforcement learning (RL). To address this, we propose TARPO (Token-Wise Latent-Explicit Reasoning via Action-Routing Policy Optimization), a pure RL...
Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models
arXiv:2602.02600v3 Announce Type: replace Abstract: Diffusion language models (DLMs) have recently emerged as a competitive alternative to autoregressive (AR) models, offering parallel decoding, competitive generation quality, and initial evidence of improved jailbreak robustness. Despite this progress, the role of sampling mechanisms in shaping refusal behavior remains poorly understood. To address this gap, we present a comprehensive study of step-wise refusal dynamics.
Region-Wise Correspondence Prediction between Manga Line Art Images
arXiv:2509.09501v4 Announce Type: replace Abstract: Understanding region-wise correspondences between manga line art images is fundamental for high-level manga processing, supporting downstream tasks such as line art colorization and in-between frame generation. Unlike natural images that contain rich visual cues, manga line art consists only of sparse black-and-white strokes, making it challenging to determine which regions correspond across images. In this work, we introduce a new task:...
WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation
Announce Type: replace Abstract: Text-to-Image (T2I) models are capable of generating high-quality artistic creations and visual content. However, existing research and evaluation standards predominantly focus on image realism and shallow text-image alignment, lacking a comprehensive assessment of complex semantic understanding and world knowledge integration in text-to-image generation. To address this challenge, we propose \textbf{WISE}, the first benchmark specifically designed for...
Coordinate-wise splitting algorithms for ODE simulation via Koopman-Lie product formulas
arXiv:2506.17524v3 Announce Type: replace Abstract: We present a computational framework for simulating finite-dimensional ordinary differential equations by combining classical Koopman-Lie product formulas with coordinate-wise frozen subflows. The setting is model-known, since the vector field is assumed to be available, and no data-driven approximation of the Koopman operator is attempted. Under standard assumptions, the Koopman-Lie generator associated with the flow admits a coordinate...