Tootfinder

Podcast: Should Rangers stay pat, and will Pickens and Cowboys get along? https://www.dallasnews.com/sports/rangers/2025/07/10/podcast-should-rangers-stay-pat-and-will-pickens-and-cowboys-get-along/

A Computationally Aware Multi Objective Framework for Camera LiDAR Calibration
Venkat Karramreddy, Rangarajan Ramanujam
https://arxiv.org/abs/2506.20636 ht…

A Computationally Aware Multi Objective Framework for Camera LiDAR Calibration
Accurate extrinsic calibration between LiDAR and camera sensors is important for reliable perception in autonomous systems. In this paper, we present a novel multi-objective optimization framework that jointly minimizes the geometric alignment error and computational cost associated with camera-LiDAR calibration. We optimize two objectives: (1) error between projected LiDAR points and ground-truth image edges, and (2) a composite metric for computational cost reflecting runtime and resource usa…

DMER-Ranker: Learning to Rank Emotion Descriptions in the Absence of Ground Truth
Zheng Lian, Licai Sun, Haoyu Chen, Zebang Cheng, Fan Zhang, Ziyu Jia, Ziyang Ma, Fei Ma, Xiaojiang Peng, Jianhua Tao
https://arxiv.org/abs/2507.04278

DMER-Ranker: Learning to Rank Emotion Descriptions in the Absence of Ground Truth
Descriptive Multimodal Emotion Recognition (DMER) is a newly proposed task that aims to describe a person's emotional state using free-form natural language. Unlike traditional discriminative methods that rely on predefined emotion taxonomies, DMER provides greater flexibility in emotional expression, enabling fine-grained and interpretable emotion representations. However, this free-form prediction paradigm introduces significant challenges in evaluation. Existing methods either depend on grou…

A Code Comprehension Benchmark for Large Language Models for Code
Jayant Havare, Saurav Chaudhary, Ganesh Ramakrishnan, Kaushik Maharajan, Srikanth Tamilselvam
https://arxiv.org/abs/2507.10641

A Code Comprehension Benchmark for Large Language Models for Code
Large Language Models have shown impressive capabilities in coding tasks like code generation and code completion, as they have been trained on a large amount of code data. Also, since one of the core pretraining objectives is Next Token Prediction, these models tends to learn surface-level syntactic patterns in code. However, this does not guarantee code comprehension ability i.e. the ability to capture the semantics of the code. In our opinion, this is the reason why these models often underp…

Good Morning #Canada
#HappyBirthday to Harold Jay Smith, born May 26, 1912. Better known by his stage name Jay Silverheels, he is mostly recognized for his role as Tonto in the TV series The Lone Ranger. Silverheels was born on the Six Nations of the Grand River reserve, near Hagersville, Ontario, and was an accomplished athlete before being discovered and starting his acting career.
#CanadaIsAwesome #CanadianLegends
https://www.thecanadianencyclopedia.ca/en/article/jay-silverheels

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- DMER-Ranker: Learning to Rank Emotion Descriptions in the Absence of Ground Truth
Lian, Sun, Chen, Cheng, Zhang, Jia, Ma, Ma, Peng, Tao

🇺🇦 #NowPlaying on BBCRadio3's #InTune
Enrique Granados & Raphaël Feuillâtre:
🎵 Escenas Romšnticas: VI. Epílogo
#EnriqueGranados #RaphaëlFeuillâtre
https://open.spotify.com/track/5QNAdbz2JpAZ7dMHAIO3mM