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20232026
most citedHyperMoE: Towards Better Mixture of Experts via Transferring Among Experts

5 citations · 33 across the 40 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling

Keming Wu, Zuhao Yang, Kaichen Zhang +24

Recent visual generation models have made major progress in photorealism, typography, instruction following, and interactive editing, yet they still struggle with spatial reasoning…

cs.CV2026

Beyond Sequential Distance: Inter-Modal Distance Invariant Position Encoding

Lin Chen, Bolin Ni, Qi Yang +5

Despite the remarkable capabilities of Multimodal Large Language Models (MLLMs), they still suffer from visual fading in long-context scenarios. Specifically, the attention to visu…

cs.CV2026

Beyond Next-Token Alignment: Distilling Multimodal Large Language Models via Token Interactions

Lin Chen, Xiaoke Zhao, Kun Ding +9

Multimodal Large Language Models (MLLMs) demonstrate impressive cross-modal capabilities, yet their substantial size poses significant deployment challenges. Knowledge distillation…

cs.CV2024

Continuous Speculative Decoding for Autoregressive Image Generation

Zili Wang, Zheng Zhang, Kun Ding +3

Continuous visual autoregressive (AR) models have demonstrated promising performance in image generation, but their inherently sequential nature results in slow inference speed. Sp…

cs.CV2024

AVESFormer: Efficient Transformer Design for Real-Time Audio-Visual Segmentation

Zili Wang, Qi Yang, Linsu Shi +4

Recently, transformer-based models have demonstrated remarkable performance on audio-visual segmentation (AVS) tasks. However, their expensive computational cost makes real-time in…

cs.CV2024

DNTextSpotter: Arbitrary-Shaped Scene Text Spotting via Improved Denoising Training

Yu Xie, Qian Qiao, Jun Gao +5

More and more end-to-end text spotting methods based on Transformer architecture have demonstrated superior performance. These methods utilize a bipartite graph matching algorithm…