activity
20212026
most citedOPA: Object Placement Assessment Dataset

12 citations · 18 across the 16 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

cs.CV2026

Pixel-wise Geo-registration of Drone and Satellite Images

Qingyang Liu, David G Shatwell, Parth Parag Kulkarni +1

Pixel-level cross-view geo-registration aims to align a query image (e.g., drone) to a geo-referenced satellite map so that every query pixel can be mapped to real-world GPS coordi…

cs.SE2026

OmniPresent: Generating Coherent Presentation Suites from Scientific Papers

Qianli Ma, Jipeng Xiao, Siyu Wang +7

Transforming static research papers into dynamic media such as posters, slides, and videos is essential for effective dissemination but remains a labor-intensive challenge. Existin…

cs.CL2026

Why Struggle with Continuous Latents? Interpretable Discrete Latent Reasoning via Rendered Compression

Shuochen Chang, Qingyang Liu, Shaobo Wang +8

Large language models achieve high reasoning performance via explicit chain-of-thought and reinforcement learning, but require long output sequences and extended inference time. La…

cs.CL2026

Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention

Shuochen Chang, Tong Bai, Xiaofeng Zhang +5

Latent reasoning enables Large Language Models (LLMs) to perform multi-step inference within continuous hidden states, offering efficiency gains over explicit Chain-of-Thought (CoT…

cs.CV2026

Breaking Dual Bottlenecks: Evolving Unified Multimodal Models into Self-Adaptive Interleaved Visual Reasoners

Qingyang Liu, Bingjie Gao, Canmiao Fu +9

Recent unified models integrate multimodal understanding and generation within a single framework. However, an "understanding-generation gap" persists, where models can capture use…

cs.CL2026

The Missing Piece in Pre-trained Model Evaluation: Reward-Guided Decoding Unlocks Task-Oriented Behavior Without Parameter Updates

Shaobo Wang, Guo Chen, Ziyue Wang +5

With the rapid progress of large language models (LLMs), reliably evaluating the capabilities of pre-trained LLMs has become increasingly important. The challenge is that base pre-…

cs.CV2026

Reflection Generation for Composite Image Using Diffusion Model

Haonan Zhao, Qingyang Liu, Jiaxuan Chen +1

Image composition involves inserting a foreground object into the background while synthesizing environment-consistent effects such as shadows and reflections. Although shadow gene…